>> theCUBE's live coverage is made possible by funding from Dell Technologies: "Creating technologies that drive human progress." >> Good late afternoon from Barcelona, Spain at the Theater of Barcelona. It's Lisa Martin and Dave Nicholson of "theCUBE" covering MWC23. This is our third day of continuous wall-to-wall coverage on theCUBE. And you know we're going to be here tomorrow as well. We've been having some amazing conversations about the ecosystem. And we're going to continue those conversations next. Honore Labourdette is here, the VP global partner, Ecosystem Success Team, Telco Media and Entertainment at Red Hat. And Tony Jeffries joins us as well, a Senior Director of Product Management, Telecom Systems Business at Dell. Welcome to the theCUBE. >> Thank you. >> Thank you. >> Great to have both of you here. So we're going to be talking about the evolution of the telecom stack. We've been talking a lot about disaggregation the last couple of days. Honore, starting with you, talk about the evolution of the telecom stock. You were saying before we went live this is your 15th at least MWC. So you've seen a lot of evolution, but what are some of the things you're seeing right now? >> Well, I think the interesting thing about disaggregation, which is a key topic, right? 'Cause it's so relative to 5G and the 5G core and the benefits and the features of 5G core around disaggregation. But one thing we have to remember, when you disaggregate, you separate things. You have to bring those things back together again in a different way. And that's predominantly what we're doing in our partnership with Dell, is we're bringing those disaggregated components back together in a cohesive way that takes advantage of the new technology, at the same time taking out the complexity and making it easier for our Telco customers to deploy and to scale and to get much more, accelerate the time to revenue. So the trend now is, what we're seeing is two things I would say. One is how do we solve for the complexity with the disaggregation? And how do we leverage the ecosystem as a partner in order to help solve for some of those challenges? >> Tony, jump on in, talk about what you guys announced last week, Dell and Red Hat, and how it's addressing the complexities that Honore was saying, "Hey, they're there." >> Yeah. You know, our customers, our operators are saying, "Hey, I want disaggregation." "I want competition in the market." But at the same time who's going to support all this disaggregation, right? And so at the end of the day, there's going to be an operator that's going to have to figure this out. They're going to have an SLA that they're going to have to meet. And so they're going to want to go with a best-in-class partner with Red Hat and Dell, in terms of our infrastructure and their software together as one combined engineered system. And that's what we call a Dell Telecom infrastructure block for Red Hat. And so at the end of the day, things may go wrong, and if they do, who are they going to call for that support? And that's also really a key element of an engineered system, is this experience that they get both with Red Hat and with Dell together supporting the customer as one. Which is really important to solve this disaggregated problem that can arise from a disaggregated open network situation, yeah. >> So what is the market, the go to market motion look like? People have loyalties in the IT space to technologies that they've embraced and been successful with for years and years. So you have folks in the marketplace who are diehard, you know, dyed red, Red Hat folks. Is it primarily a pull from them? How does that work? How do you approach that to your, what are your end user joint customers? What does that look like from your perspective? >> Sure, well, interestingly enough both Red Hat and Dell have been in the marketplace for a very long time, right? So we do have the brand with those Telco customers for these solutions. What we're seeing with this solution is, it's an emerging market. It's an emerging market for a new technology. So there's an opportunity for both Red Hat and Dell together to leverage our brands with those customers with no friction in the marketplace as we go to market together. So our field sales teams will be motivated to, you know, take advantage of the solution for their customers, as will the Dell team. And I'll let Tony speak to the Dell, go to market. >> Yeah. You know, so we really co-sell together, right? We're the key partners. Dell will end up fulfilling that order, right? We send these engineered systems through our factories and we send that out either directly to a customer or to a OTEL lab, like an intermediate lab where we can further refine and customize that offer for that particular customer. And so we got a lot of options there, but we're essentially co-selling. And Dell is fulfilling that from an infrastructure perspective, putting Red Hat software on top and the licensing for that support. So it's a really good mix. >> And I think, if I may, one of the key differentiators is the actual capabilities that we're bringing together inside of this pre-integrated solution. So it includes the Red Hat OpenShift which is the container software, but we also add our advanced cluster management as well as our Ansible automation. And then Dell adds their orchestration capability along with the features and functionalities of the platform. And we put that together and we offer capability, remote automation orchestration and management capabilities that again reduces the operating expense, reduces the complexity, allows for easy scale. So it's, you know, certainly it's all about the partnership but it's also the capabilities of the combined technology. >> I was just going to ask about some of the numbers, and you mentioned some of them. Reduction of TCO I imagine is also a big capability that this solution enables besides reducing OpEx. Talk about the TCO reduction. 'Cause I know there's some numbers there that Dell and Red Hat have already delivered to the market. >> Yeah. You know, so these infrastructure blocks are designed specifically for Core, or for RAN, or for the Edge. We're starting out initially in the Core, but we've done some market research with a company called ACG. And ACG has looked at day zero, day one and day two TCO, FTE hours saved. And we're looking at over 40 to 50% TCO savings over you know, five year period, which is quite significant in terms of cost savings at a TCO level. But also we have a lot of numbers around power consumption and savings around power consumption. But also just that experience for our operator that says, hey, I'm going to go to one company to get the best in class from Red Hat and Dell together. That saves a lot of time in procurement and that entire ordering process as well. So you get a lot of savings that aren't exactly seen in the FTE hours around TCO, but just in that overall experience by talking to one company to get the best of both from both Red Hat and Dell together. >> I think the comic book character Charlie Brown once said, "The most discouraging thing in the world is having a lot of potential." (laughing) >> Right. >> And so when we talk about disaggregating and then reaggregating or reintegrating, that means choice. >> Tony: Yeah. >> How does an operator approach making that choice? Because, yeah, it sounds great. We have this integration lab and you have all these choices. Well, how do I decide, how does a person decide? This is a question for Honore from a Red Hat perspective, what's the secret sauce that you believe differentiates the Red Hat-infused stack versus some other assemblage of gear? >> Well, there's a couple of key characteristics, and the one that I think is most prevalent is that we're open, right? So "open" is in Red Hat's DNA because we're an open source technology company, and with that open source technology and that open platform, our customers can now add workloads. They have options to choose the workloads that they want to run on that open source platform. As they choose those workloads, they can be confident that those workloads have been certified and validated on our platform because we have a very robust ecosystem of ISVs that have already completed that process with open source, with Red Hat OpenShift. So then we take the Red Hat OpenShift and we put it on the Dell platform, which is market leader platform, right? Combine those two things, the customers can be confident that they can put those workloads on the combined platform that we're offering and that those workloads would run. So again, it goes back to making it simpler, making it easy to procure, easy to run workloads, easy to deploy, easy to operate. And all of that of course equates to saving time always equates to saving money. >> Yeah. Absolutely. >> Oh, I thought you wanted to continue. >> No, I think Honore sort of, she nailed it. You know, Red Hat is so dominant in 5G, and what they're doing in the market, especially in the Core and where we're going into the RAN, you know, next steps are to validate those workloads, those workload vendors on top of a stack. And the Red Hat leader in the Core is key, right? It's instant credibility in the core market. And so that's one of the reasons why we, Dell, want to partner with with Red Hat for the core market and beyond. We're going to be looking at not only Core but moving into RAN very soon. But then we do, we take that validated workload on top of that to optimize that workload and then be able to instantiate that in the core and the RAN. It's just a really streamlined, good experience for our operators. At the end of the day, we want happy customers in between our mutual customer base. And that's what you get whenever you do that combined stack together. >> Were operators, any operators, and you don't have to mention them by name, involved in the evolution of the infra blocks? I'm just curious how involved they were in helping to co-develop this. I imagine they were to some degree. >> Yeah, I could take that one. So, in doing so, yeah, we can't be myopic and just assume that we nailed it the first time, right? So yeah, we do work with partners all the way up and down the stack. A lot of our engineering work with Red Hat also brings in customer experience that is key to ensure that you're building and designing the right architecture for the Core. I would like to use the names, I don't know if I should, but a lot of those names are big names that are leaders in our industry. But yeah, their footprints, their fingerprints are all over those design best practices, those architectural designs that we build together. And then we further that by doing those validated workloads on top of that. So just to really prove the point that it's optimized for the Core, RAN, Edge kind of workload. >> And it's a huge added value for Red Hat to have a partner like Dell who can take all of those components, take the workload, take the Red Hat software, put it on the platform, and deliver that out to the customers. That's really, you know, a key part of the partnership and the value of the partnership because nobody really does that better than Dell. That center of excellence around delivery and support. >> Can you share any feedback from any of those nameless operators in terms of... I'm even kind of wondering what the catalyst was for the infra block. Was it operators saying, "Ah, we have these challenges here"? Was it the evolution of the Telco stack and Dell said, "We can come in with Red Hat and solve this problem"? And what's been some of their feedback? >> Yeah, it really comes down to what Honore said about, okay, you know, when we are looking at day zero, which is primarily your design, how much time savings can we do by creating that stack for them, right? We have industry experts designing that Core stack that's optimized for different levels of spectrum. When we do that we save a lot of time in terms of FTE hours for our architects, our operators, and then it goes into day one, right? Which is the deployment aspect for saving tons of hours for our operators by being able to deploy this. Speed to market is key. That ultimately ends up in, you know, faster time to revenue for our customers, right? So it's, when they see that we've already done the pre-work that they don't have to, that's what really resonates for them in terms of that, yeah. >> Honore, Lisa and I happen to be veterans of the Cloud native space, and what we heard from a lot of the folks in that ecosystem is that there is a massive hunger for developers to be able to deploy and manage and orchestrate environments that consist of Cloud native application infrastructure, microservices. >> Right. >> What we've heard here is that 5G equals Cloud native application stacks. Is that a fair assessment of the environment? And what are you seeing from a supply and demand for that kind of labor perspective? Is there still a hunger for those folks who develop in that space? >> Well, there is, because the very nature of an open source, Kubernetes-based container platform, which is what OpenShift is, the very nature of it is to open up that code so that developers can have access to the code to develop the workloads to the platform, right? And so, again, the combination of bringing together the Dell infrastructure with the Red Hat software, it doesn't change anything. The developer, the development community still has access to that same container platform to develop to, you know, Cloud native types of application. And you know, OpenShift is Red Hat's hybrid Cloud platform. So it runs on-prem, it runs in the public Cloud, it runs at the edge, it runs at the far edge. So any of the development community that's trying to develop Cloud native applications can develop it on this platform as they would if they were developing on an OpenShift platform in the public Cloud. >> So in "The Graduate", the advice to the graduate was, "Plastics." Plastics. As someone who has more children than I can remember, I forget how many kids I have. >> Four. >> That's right, I have four. That's right. (laughing) Three in college and grad school already at this point. Cloud native, I don't know. Kubernetes definitely a field that's going to, it's got some legs? >> Yes. >> Okay. So I can get 'em off my payroll quickly. >> Honore: Yes, yes. (laughing) >> Okay, good to know. Good to know. Any thoughts on that open Cloud native world? >> You know, there's so many changes that's going to happen in Kubernetes and services that you got to be able to update quickly. CICD, obviously the topic is huge. How quickly can we keep these systems up to date with new releases, changes? That's a great thing about an engineered system is that we do provide that lifecycle management for three to five years through this engagement with our customers. So we're constantly keeping them up with the latest and the greatest. >> David: Well do those customers have that expertise in-house, though? Do they have that now? Or is this a seismic cultural shift in those environments? >> Well, you know, they do have a lot of that experience, but it takes a lot of that time, and we're taking that off of their plate and putting that within us on our system, within our engineered system, and doing that automatically for them. And so they don't have to check in and try to understand what the release certification matrix is. Every quarter we're providing that to them. We're communicating out to the operator, telling them what's coming up latest and greatest, not only in terms of the software but the hardware and how to optimize it all together. That's the beauty of these systems. These are five year relationships with our operators that we're providing that lifecycle management end to end, for years to come. >> Lisa: So last question. You talked about joint GTM availability. When can operators get their hands on this? >> Yes. Yes. It's currently slated for early September release. >> Lisa: Awesome. So sometime this year? >> Yes. >> Well guys, thank you so much for talking with us today about Dell, Red Hat, what you're doing to really help evolve the telecom stack. We appreciate it. Next time come back with a customer, we can dig into it. That'd be fun. >> We sure will, absolutely. That may happen today actually, a little bit later. Not to let the cat out the bag, but good news. >> All right, well, geez, you're going to want to stick around. Thank you so much for your time. For our guests and for Dave Nicholson. This is Lisa Martin of theCUBE at MWC23 from Barcelona, Spain. We'll be back after a short break. (calm music)

(rousing music) >> Hello everyone. Welcome back to "theCUBE's" day one coverage of Cloud Native Security Con 23. This is going to be an exciting panel. I've got three great guests. I'm Lisa Martin, you know our esteemed analysts, John Furrier, and Dave Vellante well. And we're excited to welcome to "theCUBE" for the first time, Yves Sandfort, the CEO of Comdivision Group, who's coming to us from Germany. As you know, Cloud Native Security Con is a global event. Everyone welcome Yves, great to have you in particular. Welcome to "theCUBE." >> Great to be here. >> Thank you for inviting me. >> Yves, tell us a little bit, before we dig into really wanting to understand your perspectives on the event and get Dave and John's feedback as well, tell us a little bit about you. >> So yeah, talking about me, or talking about Comdivision real quick. We are in the business for over 27 years already. We started as a SaaS company, then became more like an architecture and, and Cloud Native company over the last few years. But what's interesting is, and I think that's, that's, that's really interesting when we look at our industry. It hasn't really, the requirements haven't really changed over the years. It's still security. We still have to figure out how we deal with security. We still have to figure out how we deal with compliance and everything else. And I think therefore, it's more and more important that we take these items more seriously. Also, based on the fact that when we look at it, how development and other things happen nowadays, it's, it's, everybody says it's like open source. It's great because everybody can look into the code. We, I think the last few years have shown us enough example that that's not necessarily solving all the issues, but it's also code and development has changed rapidly when we look at the Cloud Native approach, where it's far more about gluing the pieces together, versus the development pieces. When I was actually doing software development 25 years ago, and had to basically build my code because I didn't have that much internet access for it. So it has evolved, but even back then we had to deal with security and everything. >> Right. The focus on security is, is incredibly important, and the focus keeps growing as you mentioned. This is, guys, and I want to get your perspectives on this. We're going to start with John. This is the first time Cloud Native Security Con is its own event being extracted from, and amplified from KubeCon. John, I want to understand from your perspective, break down the event, what you see, what you've heard, and Cloud Native Security in general. What does this mean to companies? What does it mean to customers? Is this a reality? >> Well, I think that's the topic we want to discuss, and I think Yves background, you see the VMware certification, I love that. Because what VMware did with virtualization, was abstract that from server virtualization, kind of really changed the game on things, and you start to see Cloud Native kind of go that next level of how companies will be operating their business, not just digital transformation, as digital transformation goes to completion, it's total business transformation where IT is everywhere. And so you're starting to see the trends where, "Okay, that's happening." Now you're starting to see, that's Cloud Native Con, or KubeCon, AWS re:Invent, or whatever show, or whatever way you want to look at it. But in, in the past decade, past five years, security has always been front and center as almost a separate thing, and, in and of itself, but the same thing. So you're starting to see the breakout of security conversations around how to make things work. So a lot of operational conversations around what used to be DevOps makes infrastructure as code, and that was great, that fueled that. Then DevSecOps came. So the Cloud Native next level, is more application development at scale, developers driving the standards with developer first thinking, shifting left, I get all that. But down in the lower ends of the stack, you got real operational issues. DNS we've heard in the keynote, we heard about the Colonel, the Lennox Colonel. Things that need to be managed and taken care of at a security level. These are like, seem like in the weeds, but you're starting to see that happen. And the other thing that I think's real about Cloud Native Security Con that's going to be interesting to watch, is Amazon has pretty much canceled all their re:Invent like shows except for two; Re:Invent, which is their annual conference, and Re:Inforce, which is dedicated to securities. So Cloud Native, Linux, the Linux Foundation has now breaking out Cloud Native Con and KubeCon, and now Cloud Native Security Con. They can't call it KubeCon because it's not Kubernetes, but it's like security focus. I think this is the beginning of starting to see this new developer driving, developers driving the standards, and it has it implications, what used to be called IT ops, and that's like the VMwares of the world. You saw all the stuff that was not at developer focus, but more ops, becoming much more in the application. So I think, I think it's real. The question is where does it go? How fast does it develop? So to me, I think it's a real trend, and it's worthy of a breakout, but it's not yet clear of where the landing zone is for people to start doing it, how they get started, what are the best practices. Machine learning's going to be a big part of this. So to me it's totally cool, but I'm not yet seeing the beachhead. So that's kind of my take. >> Dave, our inventor and host of breaking analysis, what's your take? >> So when you, I think when you zoom out, there's some, there's a big macro change that's been going on. I think when you look back, let's say 10, 12 years ago, the, the need for speed far trumped the, the, the security aspect, the governance, the data privacy. It was like, "Yeah, the risks, they're not that great compared to our opportunity." That has completely changed because the risks are now so much higher. And so what's happening, I think there's a, there's a major effort amongst CIOs and CISOs to try to make security not a blocker because it use to be, it still is. "Okay, I got this great initiative." Eh, give it to the SecOps pros, and let them take it for a while before we can go to market. And so a huge challenge now is to simplify, automate, AI comes in, the whole supply chain security, so the, so the companies can not be facing so much friction. And that is non-trivial. I don't think we're anywhere close there, but I think the goal is by, within the next several years, we're going to be in a position, that security, we heard today, is, wasn't designed in to the initial internet protocols. It was bolted on. And so increasingly, the fundamental architecture of the internet, the Cloud, et cetera, is, is seeing designed in security, and, and that is an imperative, or else business is going to come to a grinding halt. >> Right. It's no longer, the bolt no longer works. Yves, what's your perspective on Cloud Native Security, where it stands today? What's in it for customers, whether we're talking about banks, or hospitals, or retailers, what do you think? >> I think when we, when we look at security in the, in the modern world, is we need to as, as Dave mentioned, we need to rethink how we apply it. Very often, security in the past has been always bolted on in the end. If we continue to do that, it'll become more and more difficult, because as companies evolve, and as companies want to bring products and software to market in a much faster and faster way, it's getting more and more difficult if we bolt on the security process at the end. It's like, developers build something and then someone checks security. That's not going to work any longer. Especially if we also consider now the changes in the industry. We had Stack Overflow over the last 10 years. If I would've had Stack Overflow 15, 20, what, 25 years ago when I was a developer, it would've changed a hell lot. Looking at it now, and looking at it what we had in the last few weeks, it's like where nearly all of my team members say is like finally I don't need any script kiddies anymore because I can't go to (indistinct) who writes the code for me. Which is on one end great, because it enables us to solve certain problems in a much higher pace. But the challenge with that is, if the people who just copy and past that code, don't understand the implications of that code, we have a much higher risk continuously. And what people thought was, is challenging with Stack Overflow. Imagine that something in one of these AI engines, is actually going ballistic, and it creates holes in nearly every one of these applications. And trust me, there will be enough developers who are going to use these tools to develop codes, the same as students in university are going to take this to write their essays and everything else. And so it's really important that every developer team basically has a security person within their team, and not a security at the end. So we build something, we check it, go through QA, and then it goes to security. Security needs to be at the forefront. And I think that's where we see Cloud Native Security Con, where we see AWS. I saw it during re:Invent already where they said is like, we have reinforced next year. I think this becomes more and more of a topic, and I think companies, as much as it is become a norm that you have a firewall and everything else, it needs to become a norm that when you are doing software development, and every development team needs to have a security person on that needs to be trained. >> I love that chat comment Dave, 'cause you and I were talking about this. And I think that is going to be the issue. Do we need security chat for the chat bot? And there's like a, like a recursive model there. The biases are built in. I think, and I think our interview with the Palo Alto Network's co-founder, Dave, when he talked about zero trust as a structured way to start things, but he was referencing that with Cloud, there's a chance to rethink or do a do-over in security. So, I think this is kind of to me, where this is all going. And I think you asked Pat Gelsinger what, year 2013, 2014, can, is security a do over? I think we're in that do over time. >> He said yes. >> He said yes. (laughing) He was right. But yeah, eight years later... But this is, how do you, zero trust gives you some structure, but how do you organize and redo security? Because to me, I think that's what's happening here. >> And John you heard, Zuk at Palo Alto Network said, "Yeah, the, the words security and architecture, they don't go together historically." And so it is a total, total retake. >> Well is that because there's too many tools out there and- >> Yeah. For sure. >> Yeah, well, first of all, a lot of hardware. And then yeah, a lot of tools. You even see IIOT and industry 40, you see IOT security coming up as another stove pipe, and that's not the right approach. And, and so- >> Well let me, let me ask you a question Dave, and Yves, if you don't mind. 'Cause I was just riffing on this yesterday about this. In the ML space, you're seeing the ML models, you're seeing proprietary models versus open source. Is security going to go down this proprietary security methods and open source? Because that's interesting, because the CNCF is run by the the Linux Foundation. So you can almost maybe see a model where there's more proprietary security methods than open source. Or is it, is that a non-issue? >> I would, I would, let me, if I, if I jump in here first, I think the last, especially last five or 10 years have clearly shown the, the whole and, and I invested early on in the, in the end 90s in several open source startups in the Bay area. So, I'm well behind the whole open source idea and, and mid (indistinct) and others back then several times. But the point is, I think what we have seen is open source is not in general, more secure or less secure, because code is too complex nowadays. You have millions of lines of code, and it's not that either one way or the other is going to solve it. The ways I think we are going to look at it is more is what's the role to market, because only because something is open source doesn't necessarily mean it's going to be available for everyone. And the same for proprietary source from that perspective, even though everybody mixes licensing and payments and all that all the time, but it doesn't necessarily have anything to do with it. But I think as we are going through it, and when we also look at the industry, security industry over the last 10 plus years has been primarily hardware focused. And a lot of these vendors have done a good business out of selling hardware boxes, putting software on top of it. Whereas in reality, those were still X86 standard boxes in the end. So it was not that we had specific security ethics or anything like that in there anymore. And so overall, the question of the market is going to change. And as we are looking into Cloud Native, think about someone like an AWS, do you really envision them to have a hardware box of every supplier in their data center, and that in every availability zone in every region? Same for Microsoft, same for Google, etc? So we need to have new ways on how we can apply security. And that applies both on the backend services, but also on the front end side. >> And if I, and if I could chime in, I think the, the good, I think the answer is, is, is no and yes. And what I mean by that is if you take, antivirus and known malware, I mean pretty much anybody today can, can solve that problem, it's the unknown malware. So I think the yes part of the answer is yes, it's, it's going to be proprietary, but in the sense we're going to use open source tooling, and then apply that in a proprietary way with, with specific algorithms and unique architectures that are going to solve problems. For example, XDR with, with unknown malware. So, and that's the, that's the hard part. As somebody said, I think this morning at the keynote, it's, it's all the stuff that, that the SecOps team couldn't find. That's the really hard part. >> (laughs) Well the question will be will, is the new IP, the ability to feed ChatGPT some magical spelled insertion query string that does the job, that's unique, that might be the new IP, the the question to ask. >> Well, that's what the hackers are going to do. And I, they're on offense. (John laughs) And the offense knows what play is coming. So, they're going to start. >> So guys, let's take this conversation up a level. I want to get your perspectives on what's in this for me as a customer? We know security is a board level conversation. We talk about this all the time. We also know that they're based on, I think David, was the conversations that you and I had, with Palo Alto Networks at Ignite in December. There's a, there's a lack of alignment between the executives and the board from a security perspective. When we talk about Cloud Native Security, we all talked about the value in that, what's in it for customers? I want to get your perspectives on should this be a board level conversation, and if so, how do you advise organizations, whether it is a hospital, or a bank, or an organization that is really affected by things like ransomware? How should they be thinking about this from an organizational perspective? >> Well, I'll start first, because we had this conversation during our Super Cloud event last month, and this comes up a lot. And this is, the CEO board level. Yes it is a board level conversation for security, as is application development as in terms of transforming their business to be competitive, not to be on the wrong side of history with this wave coming. So I think that's more of a management. But the issue is, they tell their people, "Go do it." And they're like, 'cause they get sold on the idea of, "Hey, won't you transform your business, and everything's going to be data driven, and machine learning's going to power your apps, get new customers, be profitable." "Oh, sign me up for that." When you have to implement this, it's really hard. And I think the core issue is, where are companies in their life cycle of the ability to execute and architect this thing properly as Dave said, Nick Zuk said, "You can't have architecture and security, you need platforms." So, I think the re-platforming, and the re-factoring of business is a big factor, and that's got to get down into the, the organizational shifts and the people to do it. So are there skills? Do I do a managed service? How do I architect it? Are there more services? Are there developers doing applications that are going to be more agile? So, this is not an easy thing. And to move a business from IT operations that is proven, to be positioned for this enablement, is just really difficult. And it's expensive. And if you screw it up, you could be, could be on the wrong side of things. So, to me, that's the big issue is, you sell the dream and then you got to implement it. And that's really difficult. >> Yves, give us your perspective on, based on John's comments, how do organizations shift so dramatically? There's a cultural element there as well, but there's also organizations that are, have competitive competitors in the rear view mirror, and there's time to waste. What are your thoughts on that? >> I think that's exactly the point. It's like, as an organization, you need to take the decision between the time, the risk, and all the other elements we have into this game. Because you can try to achieve 100% security, but that's exactly the same as trying to, to protect gold or anything else 100%. It's most likely not going to be from a risk perspective anyway sensible. And that's the same from a corporational perspective. When you look at building new internet services, or IOT services, or any kind of new shopping experience or whatever else, you need to balance out between the risks and the advantages out of it. And you also need to be accepting that you potentially on the way make mistakes, but then it's more important than ever that you are able to quickly fix any mistakes, and to adjust to anything what's happening in the market. Because as we are building all these new Cloud Native applications, and build up all these skill sets, one of the big scenarios is we are far more depending on individual building blocks. These building blocks come out of open source communities, which have a much different way. When we look back in software development, back then we had application servers from Oracle, Web Logic, whatsoever, they had a release cycles of every three to six months. As now we have to deal with open source, where sometimes release cycles are on a four week schedule, in between security patches. So you need to be much faster in adopting that, checking that, implementing that, getting things to work. So there is a security stretch from that perspective. There is a speech stretch on the other thing companies have to deal with, and on the other side it's always a measurement between the risk, and the security you can afford. Because reality is, you will not be 100% protected no matter what you do. So, you need to balance out what you as an organization can actually build on. But I think, coming back also to the point, it's on the bot level nowadays. It's like nearly every discussion we have with companies nowadays as they move into the Cloud, especially also here in Europe where for the last five years, it was always, it's like "It's data privacy." Data privacy is no longer, I mean, yes, for certain people, it's still the point, but for many more people it's like, "How protected is my data?" "What do we do in case of ransomware attack?" "What do we do in case of a denial of service?" All of these things become more vulnerable, where in the past you were discussing these things with a becking page, or, or like a stock exchange. They were, it's like, "What the hell is going to happen if we have a denial of service?" Now all of the sudden, this now affects nearly everyone in their storefronts and everything else, because everything is depending on it. >> Yeah, I think you're right on. You think about how cultural change occurs, it's bottom ups or, bottom up, top down or middle out. And what, what's happened with security is the people in the security team cared about it, they were the, everybody said, "Oh, it's their problem." And then it just did an end run to the board, kind of mid, early last decade. And then the board sort of pushed that down. And the line of business is realizing, "Holy cow. My business, my EBIT can be dramatically affected by this, so I care." Now it's this whole house, cultural team sport. I know it's sort of a, a cliche, but it, it's true. Everybody actually is beginning to care about security because the risks are now so high, and it's going to affect not only the bottom line of the company, the bottom line of the business, their job, it's, it's, it's virtually everywhere. It's a huge cultural shift that we're seeing. >> And that's a big challenge for organizations in any industry. And Yves, you talked about ransomware service. Every industry across the globe is vulnerable to this. But how can, maybe John, we'll start with you. How can Cloud Native Security help organizations if they're able to embrace it, operationally, culturally, dial down some of the vulnerabilities that just seem to keep growing? >> Well, I mean that's the big question. The breaches are, are critical. The governances also could be a way that anchors down growth. So I think the balance between the governance compliance piece of it is key, but making the developers faster and more productive is the key to me. And I think having the security paradigm where they're not blockers, as Dave said, is critical. So I love the whole shift left, but now that we have more data focused initiatives around how that, you can use data to understand the security issues, I think data and security are together, and I think there's a going to be a data operating system model emerging, where data and security will be almost one thing. And that will be set up by the security teams, and the data teams together. And that will feed guardrails into the developer environment. So the developer should feel no pain at all in doing this. So I think the best practice will end up being what we're seeing with supply chain, security, with making sure code's verified. And you're going to see the container, security side completely address has been, and KubeCon, we just, I asked Scott Johnson, the CEO of Docker, and I asked him directly, "Are you guys all tight on container security?" He said, yes, but other people are suggesting that's not true. There's a lot of issues with the container security. So, there's all kinds of areas where there's holes. So Cloud Native is cool on one hand, and very relevant, but if it's not shored up, it's going to be a problem. But I, so I think that's where the action will be, at the developer pipeline, in the containers, and the data. So, that will be very relevant, and if companies nail that, they'll be faster, they'll have better apps, and that'll be the differentiator. And again, if they don't on this next wave, they're going to be driftwood. >> Dave, how do they prevent becoming driftwood? >> Well, I think Cloud has had a huge impact. And a Cloud's by no means a panacea, but let's face it, it's dramatically improved a lot of companies security posture. Now there's still that shared responsibility. Even though an S3 bucket is encrypted, it's still your responsibility to make sure that it doesn't get decrypted by somebody who has access to it. So there are things like that, but to Yve's earlier point, that can be, that's done through software now, it's done through best practices. Those best practices can be shared. So the way you, you don't become driftwood, is you start to, you step back, rethink that security architecture as we were talking about earlier, take advantage of the Cloud, take advantage of Cloud Native, and all the, the rapid pace of innovation that's occurring there, and you don't use, it's called before, The audit is the last line of defense. That's no longer a check box item. "Oh yeah, we're in compliance." It's, this is a business imperative, and because we're going to reduce our expected loss and reduce our business risk. That's part of the business case today. >> Yeah. >> It's a huge, critically important part of the business case. Yves, question for you. If you're in an elevator with a CEO, a CFO, and a CISO, and they're talking about security and Cloud Native Security, what's your value proposition to them on a, on a say a 32nd elevator ride? >> Difficult story. I think at the moment, the most important part is, we need to get people to work together, and we need to train people to work more much better together. I think that's the overall most important part for all of these solutions, because in the end, security is always a person issue. If, we can have the best tools in the industry, as long as we don't get all of these teams to work together, then we have a problem. If the security team is always seen as the end of the solution to fix everything, that's not going to work because they always are the bad guys in the game. And so we need to bring the teams together. And once we have the teams work together, I think we have a far better track on, on maintaining security. >> John and Dave, I want to get your perspectives on what Yves just said. In all the experience that the two of you have as industry analysts here on "theCUBE," Wikibon, Siliconangle Media. How do you advise organizations to get those teams together? As Eve said, that alignment is critical, but John, we'll start with you, then Dave go to you. What's your advice for organizations that need to align those teams and really don't have a lot of time to wait to do it? >> (chuckling) That's a great question. I think, I think that's everyone pays hundreds of thousands of millions of dollars to get that advice from these consultants, organizations out there doing the transformations. But I think it comes down to personnel and commitment. I think if there's a C-level commitment to the effort, you'll see the institutional structure change. So you can see really getting behind it with their, with their wallet and their, and their support of either getting more personnel to support and assist, or manage services, or giving the power to the teams to execute and doing it in a way that, that's, that's well known and best practices. Start small, build out the pilots, build the platform, and then start getting it right. And I think that's the key. Not the magic wand, the old model of rolling out stuff in, in six month cycles. It's really, get the proof points, double down and change the culture, but also execute and have real metrics. And changing the architecture, like having more penetration tests as a service. Doing pen tests is like a joke now. So that doesn't make any sense. You got to have that built in almost every day, and every minute. So, these kinds of new techniques have to be implemented and have to be tried. So that's why these communities are growing. That's why I like what open source has been doing, and I like the open source as the place to have these conversations, because that's where the action will be for new stuff. And I think people will implement open source like they did before, but with different ways, better testing, better supply chain on the software side, verifying code. So, I see open source actually getting a tailwind from this, not a headwind. So, I'm bullish on the open source piece here on, on all levels, machine learning- >> Lisa, my answer is intramural sports. And it's 'cause I think it's cultural. And what I mean by that, is you take your your best and brightest security, and this is what frankly, a lot of CISOs do, an examples is Lena Smart, MongoDB. Take your best and brightest security pros, make them captains of the intramural teams, and pair them up with pods of individuals across the organization, which is most people who don't know anything about security, and put them together, so that they can, they, so that the folks that understand security can, can realize how little people know, what, what, what, how, what the worst practices that are out there in the reverse, how they can cross pollinate. And they do that on a regular basis, I know at Mongo and other companies. And that kind of cultural assimilation is a starting point for how you get security awareness up to your question around making it a team sport. >> Absolutely critical. Yves, I want to kind of wrap things with you. We've got a couple of minutes left. When you're really looking at the Cloud Native community, the growth of it, we talked about earlier in the program, Cloud Native Security Con being now extracted and elevated out of KubeCon, what are your thoughts on the groundswell that this community is generating around Cloud Native Security, the benefits that organizations will achieve from it? >> I think overall, when we have these securities conferences, or these security arms a bit spread out and separated out of the main conference, it helps to a certain degree, because especially in the security space, when you look at at other like black hat or white hat conferences and things like that in the past, although they were not focused on Cloud Native, a lot of these security folks didn't feel well taken care of in any of the other conferences because they were always these, it's like they are always blocking us, they're always making us problems, and all these kinds of things. Now that we really take the Cloud Native piece and the security piece together, or like AWS does it with re:Inforce, I think we will see more and more that people understand is that security is a permanent topic we need to cover, but we need to bring different people together, because security also has compliance and a lot of other components in there. So we will see at these conferences moving forward, also a different audience. It's not going to be only the Cloud Native developers. And if I see some of these security audiences, I can't really imagine them to really be at KubeCon because there is too much other things going on. And you couldn't really see much of that at re:Invent because re:Invent by itself has become a complete monster of a conference. It covers too many topics. And so having this very, very important security piece separated, also gives the opportunity, I think, that we can bring in the security people, but also have the type of board level discussions potentially, between the leaders of the industry, to also discuss on how we can evolve, how we can make things better, and how, how we can actually, yeah, evolve our industry for it. Because let's face it, that threat is not going to go away. It's, it's a business. And one of the last security conferences I was on, on the ransomware part, it was one of the topics someone said is like, "Look, currently on average, it takes a hacker group roughly around they said 15 to 20 K to break into a company, and they on average make 100K. It's a business, let's face it. And it's a business we don't like. And ethically, it's no discussion that this is not good, but that's something which is happening. People are making money with it. And as long as that's going to go on, and we have enough countries where these people can hide, it's going to stay and survive. And so, with that being said, it's important for us to really build an industry around this. But I also think it's good that we have separate conferences. In the past we had more the RSA conference, which tried to cover all of these areas. But that is not really fitting Cloud Native and everything else. So I think it's good that we have these new opportunities, the Cloud Native one, but also what AWS brings up for someone. >> Yves, you just nailed it. It just comes down to simple math. It's a fraction. Revenue over cost. And if you could increase the hacker's cost, increase the denominator, their ROI will go down. And that is the game. >> Great point, Dave. What I'm hearing guys, and we can talk about technology for days and days. I know all of you. But there's, there's a big component that, that the elevation of Cloud Native Security, on its own as standalone is critical, as is the people component. You guys all talked about that. We talked about the cultural change necessary for that. Hopefully what we're seeing with Cloud Native Security Con 23, this first event is going to give us more insight over the next couple of days, and the next months or so, as to how this elevation, and how the people can come together to really help organizations from a math perspective as, as Dave talked about, really dial down the risks there, understand more of the vulnerabilities so that ransomware as a service is not as lucrative as it is today. Guys, so much appreciate your time, really breaking down Cloud Native Security, the value in it from different perspectives, and what your thoughts are on where it's going. Thanks so much for your time. >> All right. Thanks. >> Thanks, Lisa. >> Thank you. >> Thanks, Yves. >> All right. For my guests, I'm Lisa Martin. You're watching theCUBE's day one coverage of Cloud Native Security Con 23. Thanks for watching. (rousing music)

>> Narrator: From theCUBE Studios in Palo Alto and Boston bringing you data-driven insights from theCUBE and ETR. This is breaking analysis with Dave Vellante >> Enterprise tech practitioners, like most of us they want to make their lives easier so they can focus on delivering more value to their businesses. And to do so, they want to tap best of breed services in the public cloud, but at the same time connect their on-prem intellectual property to emerging applications which drive top line revenue and bottom line profits. But creating a consistent experience across clouds and on-prem estates has been an elusive capability for most organizations, forcing trade-offs and injecting friction into the system. The need to create seamless experiences is clear and the technology industry is starting to respond with platforms, architectures, and visions of what we've called the Supercloud. Hello and welcome to this week's Wikibon Cube Insights powered by ETR. In this breaking analysis we give you a preview of Supercloud 2, the second event of its kind that we've had on the topic. Yes, folks that's right Supercloud 2 is here. As of this recording, it's just about four days away 33 guests, 21 sessions, combining live discussions and fireside chats from theCUBE's Palo Alto Studio with prerecorded conversations on the future of cloud and data. You can register for free at supercloud.world. And we are super excited about the Supercloud 2 lineup of guests whereas Supercloud 22 in August, was all about refining the definition of Supercloud testing its technical feasibility and understanding various deployment models. Supercloud 2 features practitioners, technologists and analysts discussing what customers need with real-world examples of Supercloud and will expose thinking around a new breed of cross-cloud apps, data apps, if you will that change the way machines and humans interact with each other. Now the example we'd use if you think about applications today, say a CRM system, sales reps, what are they doing? They're entering data into opportunities they're choosing products they're importing contacts, et cetera. And sure the machine can then take all that data and spit out a forecast by rep, by region, by product, et cetera. But today's applications are largely about filling in forms and or codifying processes. In the future, the Supercloud community sees a new breed of applications emerging where data resides on different clouds, in different data storages, databases, Lakehouse, et cetera. And the machine uses AI to inspect the e-commerce system the inventory data, supply chain information and other systems, and puts together a plan without any human intervention whatsoever. Think about a system that orchestrates people, places and things like an Uber for business. So at Supercloud 2, you'll hear about this vision along with some of today's challenges facing practitioners. Zhamak Dehghani, the founder of Data Mesh is a headliner. Kit Colbert also is headlining. He laid out at the first Supercloud an initial architecture for what that's going to look like. That was last August. And he's going to present his most current thinking on the topic. Veronika Durgin of Sachs will be featured and talk about data sharing across clouds and you know what she needs in the future. One of the main highlights of Supercloud 2 is a dive into Walmart's Supercloud. Other featured practitioners include Western Union Ionis Pharmaceuticals, Warner Media. We've got deep, deep technology dives with folks like Bob Muglia, David Flynn Tristan Handy of DBT Labs, Nir Zuk, the founder of Palo Alto Networks focused on security. Thomas Hazel, who's going to talk about a new type of database for Supercloud. It's several analysts including Keith Townsend Maribel Lopez, George Gilbert, Sanjeev Mohan and so many more guests, we don't have time to list them all. They're all up on supercloud.world with a full agenda, so you can check that out. Now let's take a look at some of the things that we're exploring in more detail starting with the Walmart Cloud native platform, they call it WCNP. We definitely see this as a Supercloud and we dig into it with Jack Greenfield. He's the head of architecture at Walmart. Here's a quote from Jack. "WCNP is an implementation of Kubernetes for the Walmart ecosystem. We've taken Kubernetes off the shelf as open source." By the way, they do the same thing with OpenStack. "And we have integrated it with a number of foundational services that provide other aspects of our computational environment. Kubernetes off the shelf doesn't do everything." And so what Walmart chose to do, they took a do-it-yourself approach to build a Supercloud for a variety of reasons that Jack will explain, along with Walmart's so-called triplet architecture connecting on-prem, Azure and GCP. No surprise, there's no Amazon at Walmart for obvious reasons. And what they do is they create a common experience for devs across clouds. Jack is going to talk about how Walmart is evolving its Supercloud in the future. You don't want to miss that. Now, next, let's take a look at how Veronica Durgin of SAKS thinks about data sharing across clouds. Data sharing we think is a potential killer use case for Supercloud. In fact, let's hear it in Veronica's own words. Please play the clip. >> How do we talk to each other? And more importantly, how do we data share? You know, I work with data, you know this is what I do. So if you know I want to get data from a company that's using, say Google, how do we share it in a smooth way where it doesn't have to be this crazy I don't know, SFTP file moving? So that's where I think Supercloud comes to me in my mind, is like practical applications. How do we create that mesh, that network that we can easily share data with each other? >> Now data mesh is a possible architectural approach that will enable more facile data sharing and the monetization of data products. You'll hear Zhamak Dehghani live in studio talking about what standards are missing to make this vision a reality across the Supercloud. Now one of the other things that we're really excited about is digging deeper into the right approach for Supercloud adoption. And we're going to share a preview of a debate that's going on right now in the community. Bob Muglia, former CEO of Snowflake and Microsoft Exec was kind enough to spend some time looking at the community's supercloud definition and he felt that it needed to be simplified. So in near real time he came up with the following definition that we're showing here. I'll read it. "A Supercloud is a platform that provides programmatically consistent services hosted on heterogeneous cloud providers." So not only did Bob simplify the initial definition he's stressed that the Supercloud is a platform versus an architecture implying that the platform provider eg Snowflake, VMware, Databricks, Cohesity, et cetera is responsible for determining the architecture. Now interestingly in the shared Google doc that the working group uses to collaborate on the supercloud de definition, Dr. Nelu Mihai who is actually building a Supercloud responded as follows to Bob's assertion "We need to avoid creating many Supercloud platforms with their own architectures. If we do that, then we create other proprietary clouds on top of existing ones. We need to define an architecture of how Supercloud interfaces with all other clouds. What is the information model? What is the execution model and how users will interact with Supercloud?" What does this seemingly nuanced point tell us and why does it matter? Well, history suggests that de facto standards will emerge more quickly to resolve real world practitioner problems and catch on more quickly than consensus-based architectures and standards-based architectures. But in the long run, the ladder may serve customers better. So we'll be exploring this topic in more detail in Supercloud 2, and of course we'd love to hear what you think platform, architecture, both? Now one of the real technical gurus that we'll have in studio at Supercloud two is David Flynn. He's one of the people behind the the movement that enabled enterprise flash adoption, that craze. And he did that with Fusion IO and he is now working on a system to enable read write data access to any user in any application in any data center or on any cloud anywhere. So think of this company as a Supercloud enabler. Allow me to share an excerpt from a conversation David Flore and I had with David Flynn last year. He as well gave a lot of thought to the Supercloud definition and was really helpful with an opinionated point of view. He said something to us that was, we thought relevant. "What is the operating system for a decentralized cloud? The main two functions of an operating system or an operating environment are one the process scheduler and two, the file system. The strongest argument for supercloud is made when you go down to the platform layer and talk about it as an operating environment on which you can run all forms of applications." So a couple of implications here that will be exploring with David Flynn in studio. First we're inferring from his comment that he's in the platform camp where the platform owner is responsible for the architecture and there are obviously trade-offs there and benefits but we'll have to clarify that with him. And second, he's basically saying, you kill the concept the further you move up the stack. So the weak, the further you move the stack the weaker the supercloud argument becomes because it's just becoming SaaS. Now this is something we're going to explore to better understand is thinking on this, but also whether the existing notion of SaaS is changing and whether or not a new breed of Supercloud apps will emerge. Which brings us to this really interesting fellow that George Gilbert and I RIFed with ahead of Supercloud two. Tristan Handy, he's the founder and CEO of DBT Labs and he has a highly opinionated and technical mind. Here's what he said, "One of the things that we still don't know how to API-ify is concepts that live inside of your data warehouse inside of your data lake. These are core concepts that the business should be able to create applications around very easily. In fact, that's not the case because it involves a lot of data engineering pipeline and other work to make these available. So if you really want to make it easy to create these data experiences for users you need to have an ability to describe these metrics and then to turn them into APIs to make them accessible to application developers who have literally no idea how they're calculated behind the scenes and they don't need to." A lot of implications to this statement that will explore at Supercloud two versus Jamma Dani's data mesh comes into play here with her critique of hyper specialized data pipeline experts with little or no domain knowledge. Also the need for simplified self-service infrastructure which Kit Colbert is likely going to touch upon. Veronica Durgin of SAKS and her ideal state for data shearing along with Harveer Singh of Western Union. They got to deal with 200 locations around the world in data privacy issues, data sovereignty how do you share data safely? Same with Nick Taylor of Ionis Pharmaceutical. And not to blow your mind but Thomas Hazel and Bob Muglia deposit that to make data apps a reality across the Supercloud you have to rethink everything. You can't just let in memory databases and caching architectures take care of everything in a brute force manner. Rather you have to get down to really detailed levels even things like how data is laid out on disk, ie flash and think about rewriting applications for the Supercloud and the MLAI era. All of this and more at Supercloud two which wouldn't be complete without some data. So we pinged our friends from ETR Eric Bradley and Darren Bramberm to see if they had any data on Supercloud that we could tap. And so we're going to be analyzing a number of the players as well at Supercloud two. Now, many of you are familiar with this graphic here we show some of the players involved in delivering or enabling Supercloud-like capabilities. On the Y axis is spending momentum and on the horizontal accesses market presence or pervasiveness in the data. So netscore versus what they call overlap or end in the data. And the table insert shows how the dots are plotted now not to steal ETR's thunder but the first point is you really can't have supercloud without the hyperscale cloud platforms which is shown on this graphic. But the exciting aspect of Supercloud is the opportunity to build value on top of that hyperscale infrastructure. Snowflake here continues to show strong spending velocity as those Databricks, Hashi, Rubrik. VMware Tanzu, which we all put under the magnifying glass after the Broadcom announcements, is also showing momentum. Unfortunately due to a scheduling conflict we weren't able to get Red Hat on the program but they're clearly a player here. And we've put Cohesity and Veeam on the chart as well because backup is a likely use case across clouds and on-premises. And now one other call out that we drill down on at Supercloud two is CloudFlare, which actually uses the term supercloud maybe in a different way. They look at Supercloud really as you know, serverless on steroids. And so the data brains at ETR will have more to say on this topic at Supercloud two along with many others. Okay, so why should you attend Supercloud two? What's in it for me kind of thing? So first of all, if you're a practitioner and you want to understand what the possibilities are for doing cross-cloud services for monetizing data how your peers are doing data sharing, how some of your peers are actually building out a Supercloud you're going to get real world input from practitioners. If you're a technologist, you're trying to figure out various ways to solve problems around data, data sharing, cross-cloud service deployment there's going to be a number of deep technology experts that are going to share how they're doing it. We're also going to drill down with Walmart into a practical example of Supercloud with some other examples of how practitioners are dealing with cross-cloud complexity. Some of them, by the way, are kind of thrown up their hands and saying, Hey, we're going mono cloud. And we'll talk about the potential implications and dangers and risks of doing that. And also some of the benefits. You know, there's a question, right? Is Supercloud the same wine new bottle or is it truly something different that can drive substantive business value? So look, go to Supercloud.world it's January 17th at 9:00 AM Pacific. You can register for free and participate directly in the program. Okay, that's a wrap. I want to give a shout out to the Supercloud supporters. VMware has been a great partner as our anchor sponsor Chaos Search Proximo, and Alura as well. For contributing to the effort I want to thank Alex Myerson who's on production and manages the podcast. Ken Schiffman is his supporting cast as well. Kristen Martin and Cheryl Knight to help get the word out on social media and at our newsletters. And Rob Ho is our editor-in-chief over at Silicon Angle. Thank you all. Remember, these episodes are all available as podcast. Wherever you listen we really appreciate the support that you've given. We just saw some stats from from Buzz Sprout, we hit the top 25% we're almost at 400,000 downloads last year. So really appreciate your participation. All you got to do is search Breaking Analysis podcast and you'll find those I publish each week on wikibon.com and siliconangle.com. Or if you want to get ahold of me you can email me directly at David.Vellante@siliconangle.com or dm me DVellante or comment on our LinkedIn post. I want you to check out etr.ai. They've got the best survey data in the enterprise tech business. This is Dave Vellante for theCUBE Insights, powered by ETR. Thanks for watching. We'll see you next week at Supercloud two or next time on breaking analysis. (light music)

>>Hello everyone. Welcome to the Super Cloud Event preview. I'm John Forry, host of the Cube, and with Dave Valante, host of the popular Super cloud events. This is Super Cloud two preview. I'm joined by industry leader and Cube alumni, Victoria Vigo, vice president of klos Cross Cloud Services at VMware. Vittorio. Great to see you. We're here for the preview of Super Cloud two on January 17th, virtual event, live stage performance, but streamed out to the audience virtually. We're gonna do a preview. Thanks for coming in. >>My pleasure. Always glad to be here. >>It's holiday time. We had the first super cloud on in August prior to VMware, explore North America prior to VMware, explore Europe prior to reinvent. We've been through that, but right now, super Cloud has got momentum. Super Cloud two has got some success. Before we dig into it, let's take a step back and set the table. What is Super Cloud and why is important? Why are people buzzing about it? Why is it a thing? >>Look, we have been in the cloud now for like 10, 15 years and the cloud is going strong and I, I would say that going cloud first was deliberate and strategic in most cases. In some cases the, the developer was going for the path of risk resistance, but in any sizable company, this caused the companies to end up in a multi-cloud world where 85% of the companies out there use two or multiple clouds. And with that comes what we call cloud chaos, because each cloud brings their own management tools, development tools, security. And so that increase the complexity and cost. And so we believe that it's time to usher a new era in cloud computing, which we, you call the super cloud. We call it cross cloud services, which allows our customers to have a single way to build, manage, secure, and access any application across any cloud. Lowering the cost and simplifying the environment. Since >>Dave Ante and I introduced and rift on the concept of Supercloud, as we talked about at reinvent last year, a lot has happened. Supercloud one, it was in August, but prior to that, great momentum in the industry. Great conversation. People are loving it, they're hating it, which means it's got some traction. Berkeley has come on board as with a position paper. They're kind of endorsing it. They call it something different. You call it cross cloud services, whatever it is. It's kind of the same theme we're seeing. And so the industry has recognized something is happening that's different than what Cloud one was or the first generation of cloud. Now we have something different. This Super Cloud two in January. This event has traction with practitioners, customers, big name brands, Sachs, fifth Avenue, Warner, media Financial, mercury Financial, other big names are here. They're leaning in. They're excited. Why the traction in the customer's industry converts over to, to the customer traction. Why is it happening? You, you get a lot of data. >>Well, in, in Super Cloud one, it was a vendor fest, right? But these vendors are smart people that get their vision from where, from the customers. This, this stuff doesn't happen in a vacuum. We all talk to customers and we tend to lean on the early adopters and the early adopters of the cloud are the ones that are telling us, we now are in a place where the complexity is too much. The cost is ballooning. We're going towards slow down potentially in the economy. We need to get better economics out of, of our cloud. And so every single customers I talked to today, or any sizable company as this problem, the developers have gone off, built all these applications, and now the business is coming to the operators and asking, where are my applications? Are they performing? What is the security posture? And how do we do compliance? And so now they're realizing we need to do something about this or it is gonna be unmanageable. >>I wanna go to a clip I pulled out from the, our video data lake and the cube. If we can go to that clip, it's Chuck Whitten Dell at a keynote. He was talking about what he calls multi-cloud by default, not by design. This is a state of the, of the industry. If we're gonna roll that clip, and I wanna get your reaction to that. >>Well, look, customers have woken up with multiple clouds, you know, multiple public clouds. On-premise clouds increasingly as the edge becomes much more a reality for customers clouds at the edge. And so that's what we mean by multi-cloud by default. It's not yet been designed strategically. I think our argument yesterday was it can be, and it should be, it is a very logical place for architecture to land because ultimately customers want the innovation across all of the hyperscale public clouds. They will see workloads and use cases where they wanna maintain an on-premise cloud. On-premise clouds are not going away. I mentioned edge Cloud, so it should be strategic. It's just not today. It doesn't work particularly well today. So when we say multi-cloud, by default we mean that's the state of the world. Today, our goal is to bring multi-cloud by design, as you heard. Yeah, I >>Mean, I, okay, Vittorio, that's, that's the head of Dell Technologies president. He obvious he runs it. Michael Dell's still around, but you know, he's the leader. This is a interesting observation. You know, he's not a customer. We have some customer equips we'll go to as well, but by default it kind of happened not by design. So we're now kind of in a zoom out issue where, okay, I got this environment just landed on me. What, what is the, what's your reaction to that clip of how multi-cloud has become present in, in everyone's on everyone's plate right now to deal with? Yeah, >>I it is, it is multi-cloud by default, I would call it by accident. We, we really got there by accident. I think now it's time to make it a strategic asset because look, we're using multiple cloud for a reason, because all these hyperscaler bring tremendous innovation that we want to leverage. But I strongly believe that in it, especially history repeat itself, right? And so if you look at the history of it, as was always when a new level of obstruction that simplify things, that we got the next level of innovation at the lower cost, you know, from going from c plus plus to Visual basic, going from integrating application at the bits of by layer to SOA and then web services. It's, it's only when we simplify the environment that we can go faster and lower cost. And the multi-cloud is ready for that level of obstruction today. >>You know, you've made some good points. You know, developers went crazy building great apps. Now they got, they gotta roll it out and operationalize it globally. A lot of compliance issues going on. The costs are going up. We got an economic challenge, but also agility with the cloud. So using cloud and or hybrid, you can get better agility. And also moving to the cloud, it's kind of still slow. Okay, so I get that at reinvent this year and at VMware explorer we were observing and we reported that you're seeing a transition to a new kind of ecosystem partner. Ones that aren't just ISVs anymore. You have ISVs, independent software vendors, but you got the emergence of bigger players that just, they got platforms, they have their own ecosystems. So you're seeing ecosystems on top of ecosystems where, you know, MongoDB CEO and the Databricks CEO both told me, we're not an isv, we're a platform built on a cloud. So this new kind of super cloudlike thing is going on. Why should someone pay attention to the super cloud movement? We're on two, we're gonna continue to do these out in the open. Anyone can participate. Why should people pay attention to this? Why should they come to the event? Why is this important? Is this truly an inflection point? And if they do pay attention, what should they pay attention to? >>I would pay attention to two things. If you are customers that are now starting to realize that you have a multi-cloud problem and the costs are getting outta control, look at what the leading vendors are saying, connect the dots with the early adopters and some of the customers that we are gonna have at Super Cloud two, and use those learning to not fall into the same trap. So I, I'll give you an example. I was talking to a Fortune 50 in Europe in my latest trip, and this is an a CIO that is telling me >>We build all these applications and now for compliance reason, the business is coming to me, I don't even know where they are, right? And so what I was telling him, so look, there are other customers that are already there. What did they do? They built a platform engineering team. What is the platform? Engineering team is a, is an operation team that understands how developers build modern applications and lays down the foundation across multiple clouds. So the developers can be developers and do their thing, which is writing code. But now you as a cio, as a, as a, as a governing body, as a security team can have the guardrail. So do you know that these applications are performing at a lower cost and are secure and compliant? >>Patura, you know, it's really encouraging and, and love to get your thoughts on this is one is the general consensus of industry leaders. I talked to like yourself in the round is the old way was soft complexity with more complexity. The cloud demand simplicity, you mentioned abstraction layer. This is our next inflection point. It's gotta be simpler and it's gotta be easy and it's gotta be performant. That's the table stakes of the cloud. What's your thoughts on this next wave of simplicity versus complexity? Because again, abstraction layers take away complexity, they should make it simpler. What's your thoughts? >>Yeah, so I'll give you few examples. One, on the development side and runtime. You, you one would think that Kubernetes will solve all the problems you have Kubernetes everywhere, just look at, but every cloud has a different distribution of Kubernetes, right? So for example, at VMware with tansu, we create a single place that allows you to deploy that any Kubernetes environment. But now you have one place to set your policies. We take care of the differences between this, this system. The second area is management, right? So once you have all everything deployed, how do you get a single object model that tells you where your stuff is and how it's performing, and then apply policies to it as well. So these are two areas and security and so on and so forth. So the idea is that figure out what you can abstract and make common across cloud. Make that simple and put it in one place while always allowing the developers to go underneath and use the differentiated features for innovation. >>Yeah, one of the areas I'm excited, I want to get your thoughts of too is, we haven't talked about this in the past, but it, I'll throw it out there. I think the, the new AI coming out chat, G P T and other things like lens, you see it and see new kinds of AI coming that's gonna be right in the heavy lifting opportunity to make things easier with AI and automation. I think AI will be a big factor in super cloud and, and cross cloud. What's your thoughts? >>Well, the one way to look at AI is, is one of the main, main services that you would want out of a multi-cloud, right? You want eventually, right now Google seems to have an edge, but you know, the competition creates, you know, innovation. So later on you wanna use something from Azure or from or from Oracle or something that, so you want at some point that is gonna be prone every single service in in the cloud is gonna be prone to obstruction and simplification. And I, I'm just excited about to see >>What book, I can't wait for the chat services to write code automatically for us. Well, >>They >>Do, they do. They're doing it now. They do. >>Oh, the other day, somebody, you know that I do this song par this for. So for fun sometimes. And somebody the other day said, ask the AI to write a parody song for multi-cloud. And so I have the lyrics stay >>Tuned. I should do that from my blog post. Hey, write a blog post on this January 17th, Victoria, thanks for coming in, sharing the preview bottom line. Why should people come? Why is it important? What's your final kind of takeaway? Billboard message >>History is repeat itself. It goes to three major inflection points, right? We had the inflection point with the cloud and the people that got left behind, they were not as competitive as the people that got on top o of this wave. The new wave is the super cloud, what we call cross cloud services. So if you are a customer that is experiencing this problem today, tune in to to hear from other customers in, in your same space. If you are behind, tune in to avoid the, the, the, the mistakes and the, the shortfalls of this new wave. And so that you can use multi-cloud to accelerate your business and kick butt in the future. >>All right. Kicking kick your names and kicking butt. Okay, we're here on J January 17th. Super Cloud two. Momentum continues. We'll be super cloud three. There'll be super cloud floor. More and more open conversations. Join the community, join the conversation. It's open. We want more voices. We want more, more industry. We want more customers. It's happening. A lot of momentum. Victoria, thank you for your time. Thank you. Okay. I'm John Farer, host of the Cube. Thanks for watching.

foreign welcome back to re invent 2022 we're wrapping up four days well one evening and three solid days wall-to-wall of cube coverage I'm Dave vellante John furrier's birthday is today he's on a plane to London to go see his nephew get married his his great Sister Janet awesome family the furriers uh spanning the globe and uh and John I know you wanted to be here you're watching in Newark or you were waiting to uh to get in the plane so all the best to you happy birthday one year the Amazon PR people brought a cake out to celebrate John's birthday because he's always here at AWS re invented his birthday so I'm really pleased to have two really special guests uh former Cube host Cube Alum great wikibon contributor Stu miniman now with red hat still good to see you again great to be here Dave yeah I was here for that cake uh the twitterverse uh was uh really helping to celebrate John's birthday today and uh you know always great to be here with you and then with this you know Awesome event this week and friend of the cube of many time Cube often Cube contributor as here's a cube analyst this week as his own consultancy sarbj johal great to see you thanks for coming on good to see you Dave uh great to see you stu I'm always happy to participate in these discussions and um I enjoy the discussion every time so this is kind of cool because you know usually the last day is a getaway day and this is a getaway day but this place is still packed I mean it's I mean yeah it's definitely lighter you can at least walk and not get slammed but I subjit I'm going to start with you I I wanted to have you as the the tail end here because cause you participated in the analyst sessions you've been watching this event from from the first moment and now you've got four days of the Kool-Aid injection but you're also talking to customers developers Partners the ecosystem where do you want to go what's your big takeaways I think big takeaways that Amazon sort of innovation machine is chugging along they are I was listening to some of the accessions and when I was back to my room at nine so they're filling the holes in some areas but in some areas they're moving forward there's a lot to fix still it doesn't seem like that it seems like we are done with the cloud or The Innovation is done now we are building at the millisecond level so where do you go next there's a lot of room to grow on the storage side on the network side uh the improvements we need and and also making sure that the software which is you know which fits the hardware like there's a specialized software um sorry specialized hardware for certain software you know so there was a lot of talk around that and I attended some of those sessions where I asked the questions around like we have a specialized database for each kind of workload specialized processes processors for each kind of workload yeah the graviton section and actually the the one interesting before I forget that the arbitration was I asked that like why there are so many so many databases and IRS for the egress costs and all that stuff can you are you guys thinking about reducing that you know um the answer was no egress cost is not a big big sort of uh um show stopper for many of the customers but but the from all that sort of little discussion with with the folks sitting who build these products over there was that the plethora of choice is given to the customers to to make them feel that there's no vendor lock-in so if you are using some open source you know um soft software it can be on the you know platform side or can be database side you have database site you have that option at AWS so this is a lot there because I always thought that that AWS is the mother of all lock-ins but it's got an ecosystem and we're going to talk about exactly we'll talk about Stu what's working within AWS when you talk to customers and where are the challenges yeah I I got a comment on open source Dave of course there because I mean look we criticized to Amazon for years about their lack of contribution they've gotten better they're doing more in open source but is Amazon the mother of all lock-ins many times absolutely there's certain people inside Amazon I'm saying you know many of us talk Cloud native they're like well let's do Amazon native which means you're like full stack is things from Amazon and do things the way that we want to do things and you know I talk to a lot of customers they use more than one Cloud Dave and therefore certain things absolutely I want to Leverage The Innovation that Amazon has brought I do think we're past building all the main building blocks in many ways we are like in day two yes Amazon is fanatically customer focused and will always stay that way but you know there wasn't anything that jumped out at me last year or this year that was like Wow new category whole new way of thinking about something we're in a vocals last year Dave said you know we have over 200 services and if we listen to you the customer we'd have over two thousand his session this week actually got some great buzz from my friends in the serverless ecosystem they love some of the things tying together we're using data the next flywheel that we're going to see for the next 10 years Amazon's at the center of the cloud ecosystem in the IT world so you know there's a lot of good things here and to your point Dave the ecosystem one of the things I always look at is you know was there a booth that they're all going to be crying in their beer after Amazon made an announcement there was not a tech vendor that I saw this week that was like oh gosh there was an announcement and all of a sudden our business is gone where I did hear some rumbling is Amazon might be the next GSI to really move forward and we've seen all the gsis pushing really deep into supporting Cloud bringing workloads to the cloud and there's a little bit of rumbling as to that balance between what Amazon will do and their uh their go to market so a couple things so I think I think we all agree that a lot of the the announcements here today were taping seams right I call it and as it relates to the mother of all lock-in the reason why I say that it's it's obviously very much a pejorative compare Oracle company you know really well with Amazon's lock-in for Amazon's lock-in is about bringing this ecosystem together so that you actually have Choice Within the the house so you don't have to leave you know there's a there's a lot to eat at the table yeah you look at oracle's ecosystem it's like yeah you know oracle is oracle's ecosystem so so that is how I think they do lock in customers by incenting them not to leave because there's so much Choice Dave I agree with you a thousand I mean I'm here I'm a I'm a good partner of AWS and all of the partners here want to be successful with Amazon and Amazon is open to that it's not our way or get out which Oracle tries how much do you extract from the overall I.T budget you know are you a YouTube where you give the people that help you create a large sum of the money YouTube hasn't been all that profitable Amazon I think is doing a good balance of the ecosystem makes money you know we used to talk Dave about you know how much dollars does VMware make versus there um I think you know Amazon is a much bigger you know VMware 2.0 we used to think talk about all the time that VMware for every dollar spent on VMware licenses 15 or or 12 or 20 were spent in the ecosystem I would think the ratio is even higher here sarbji and an Oracle I would say it's I don't know yeah actually 1 to 0.5 maybe I don't know but I want to pick on your discussion about the the ecosystem the the partner ecosystem is so it's it's robust strong because it's wider I was I was not saying that there's no lock-in with with Amazon right AWS there's lock-in there's lock-in with everything there's lock-in with open source as well but but the point is that they're they're the the circle is so big you don't feel like locked in but they're playing smart as well they're bringing in the software the the platforms from the open source they're picking up those packages and saying we'll bring it in and cater that to you through AWS make it better perform better and also throw in their custom chips on top of that hey this MySQL runs better here so like what do you do I said oh Oracle because it's oracle's product if you will right so they are I think think they're filing or not slenders from their go to market strategy from their engineering and they listen to they're listening to customers like very closely and that has sort of side effects as well listening to customers creates a sprawl of services they have so many services and I criticized them last year for calling everything a new service I said don't call it a new service it's a feature of a existing service sure a lot of features a lot of features this is egress our egress costs a real problem or is it just the the on-prem guys picking at the the scab I mean what do you hear from customers so I mean Dave you know I I look at what Corey Quinn talks about all the time and Amazon charges on that are more expensive than any other Cloud the cloud providers and partly because Amazon is you know probably not a word they'd use they are dominant when it comes to the infrastructure space and therefore they do want to make it a little bit harder to do that they can get away with it um because um yeah you know we've seen some of the cloud providers have special Partnerships where you can actually you know leave and you're not going to be charged and Amazon they've been a little bit more flexible but absolutely I've heard customers say that they wish some good tunning and tongue-in-cheek stuff what else you got we lay it on us so do our players okay this year I think the focus was on the upside it's shifting gradually this was more focused on offside there were less talk of of developers from the main stage from from all sort of quadrants if you will from all Keynotes right so even Werner this morning he had a little bit for he was talking about he he was talking he he's job is to Rally up the builders right yeah so he talks about the go build right AWS pipes I thought was kind of cool then I said like I'm making glue easier I thought that was good you know I know some folks don't use that I I couldn't attend the whole session but but I heard in between right so it is really adopt or die you know I am Cloud Pro for last you know 10 years and I think it's the best model for a technology consumption right um because of economies of scale but more importantly because of division of labor because of specialization because you can't afford to hire the best security people the best you know the arm chip designers uh you can't you know there's one actually I came up with a bumper sticker you guys talked about bumper sticker I came up with that like last couple of weeks The Innovation favorite scale they have scale they have Innovation so that's where the Innovation is and it's it's not there again they actually say the market sets the price Market you as a customer don't set the price the vendor doesn't set the price Market sets the price so if somebody's complaining about their margins or egress and all that I think that's BS um yeah I I have a few more notes on the the partner if you you concur yeah Dave you know with just coming back to some of this commentary about like can Amazon actually enable something we used to call like Community clouds uh your companies like you know Goldman and NASDAQ and the like where Industries will actually be able to share data uh and you know expand the usage and you know Amazon's going to help drive that API economy forward some so it's good to see those things because you know we all know you know all of us are smarter than just any uh single company together so again some of that's open source but some of that is you know I think Amazon is is you know allowing Innovation to thrive I think the word you're looking for is super cloud there well yeah I mean it it's uh Dave if you want to go there with the super cloud because you know there's a metaphor for exactly what you described NASDAQ Goldman Sachs we you know and and you know a number of other companies that are few weeks at the Berkeley Sky Computing paper yeah you know that's a former supercloud Dave Linthicum calls it metacloud I'm not really careful I mean you know I go back to the the challenge we've been you know working at for a decade is the distributed architecture you know if you talk about AI architectures you know what lives in the cloud what lives at the edge where do we train things where do we do inferences um locations should matter a lot less Amazon you know I I didn't hear a lot about it this show but when they came out with like local zones and oh my gosh out you know all the things that Amazon is building to push out to the edge and also enabling that technology and software and the partner ecosystem helps expand that and Pull It in it's no longer you know Dave it was Hotel California all of the data eventually is going to end up in the public cloud and lock it in it's like I don't think that's going to be the case we know that there will be so much data out at the edge Amazon absolutely is super important um there some of those examples we're giving it's not necessarily multi-cloud but there's collaboration happening like in the healthcare world you know universities and hospitals can all share what they're doing uh regardless of you know where they live well Stephen Armstrong in the analyst session did say that you know we're going to talk about multi-cloud we're not going to lead with it necessarily but we are going to actually talk about it and that's different to your points too than in the fullness of time all the data will be in the cloud that's a new narrative but go ahead yeah actually Amazon is a leader in the cloud so if they push the cloud even if they don't say AWS or Amazon with it they benefit from it right and and the narrative is that way there's the proof is there right so again Innovation favorite scale there are chips which are being made for high scale their software being tweaked for high scale you as a Bank of America or for the Chrysler as a typical Enterprise you cannot afford to do those things in-house what cloud providers can I'm not saying just AWS Google cloud is there Azure guys are there and few others who are behind them and and you guys are there as well so IBM has IBM by the way congratulations to your red hat I know but IBM won the award um right you know very good partner and yeah but yeah people are dragging their feet people usually do on the change and they are in denial denial they they drag their feet and they came in IBM director feed the cave Den Dell drag their feed the cave in yeah you mean by Dragon vs cloud deniers cloud deniers right so server Huggers I call them but they they actually are sitting in Amazon Cloud Marketplace everybody is buying stuff from there the marketplace is the new model OKAY Amazon created the marketplace for b2c they are leading the marketplace of B2B as well on the technology side and other people are copying it so there are multiple marketplaces now so now actually it's like if you're in in a mobile app development there are two main platforms Android and Apple you first write the application for Apple right then for Android hex same here as a technology provider as and I I and and I actually you put your stuff to AWS first then you go anywhere else yeah they are later yeah the Enterprise app store is what we've wanted for a long time the question is is Amazon alone the Enterprise app store or are they partner of a of a larger portfolio because there's a lot of SAS companies out there uh that that play into yeah what we need well and this is what you're talking about the future but I just want to make a point about the past you talking about dragging their feet because the Cube's been following this and Stu you remember this in 2013 IBM actually you know got in a big fight with with Amazon over the CIA deal you know and it all became public judge wheeler eviscerated you know IBM and it ended up IBM ended up buying you know soft layer and then we know what happened there and it Joe Tucci thought the cloud was Mosey right so it's just amazing to see we have booksellers you know VMware called them books I wasn't not all of them are like talking about how great Partnerships they are it's amazing like you said sub GC and IBM uh with the the GSI you know Partnership of the year but what you guys were just talking about was the future and that's what I wanted to get to is because you know Amazon's been leading the way I I was listening to Werner this morning and that just reminded me of back in the days when we used to listen to IBM educate us give us a master class on system design and decoupled systems and and IO and everything else now Amazon is you know the master educator and it got me thinking how long will that last you know will they go the way of you know the other you know incumbents will they be disrupted or will they you know keep innovating maybe it's going to take 10 or 20 years I don't know yeah I mean Dave you actually you did some research I believe it was a year or so ago yeah but what will stop Amazon and the one thing that worries me a little bit um is the two Pizza teams when you have over 202 Pizza teams the amount of things that each one of those groups needs to take care of was more than any human could take care of people burn out they run out of people how many amazonians only last two or three years and then leave because it is tough I bumped into plenty of friends of mine that have been you know six ten years at Amazon and love it but it is a tough culture and they are driving werner's keynote I thought did look to from a product standpoint you could say tape over some of the seams some of those solutions to bring Beyond just a single product and bring them together and leverage data so there are some signs that they might be able to get past some of those limitations but I still worry structurally culturally there could be some challenges for Amazon to keep the momentum going especially with the global economic impact that we are likely to see in the next year bring us home I think the future side like we could talk about the vendors all day right to serve the community out there I think we should talk about how what's the future of technology consumption from the consumer side so from the supplier side just a quick note I think the only danger AWS has has that that you know Fred's going after them you know too big you know like we will break you up and that can cause some disruption there other than that I think they they have some more steam to go for a few more years at least before we start thinking about like oh this thing is falling apart or anything like that so they have a lot more they have momentum and it's continuing so okay from the I think game is on retail by the way is going to get disrupted before AWS yeah go ahead from the buyer's side I think um the the future of the sort of Technology consumption is based on the paper uh use and they actually are turning all their services to uh they are sort of becoming serverless behind the scenes right all analytics service they had one service left they they did that this year so every service is serverless so that means you pay exactly for the amount you use the compute the iops the the storage so all these three layers of course Network we talked about the egress stuff and that's a problem there because of the network design mainly because Google has a flatter design and they have lower cost so so they are actually squeezing the their their designing this their services in a way that you don't waste any resources as a buyer so for example very simple example when early earlier In This Cloud you will get a VM right in Cloud that's how we started so and you can get 20 use 20 percent of the VM 80 is getting wasted that's not happening now that that has been reduced to the most extent so now your VM grows as you grow the usage and if you go higher than the tier you picked they will charge you otherwise they will not charge you extra so that's why there's still a lot of instances like many different types you have to pick one I think the future is that those instances will go away the the instance will be formed for you on the fly so that is the future serverless all right give us bumper sticker Stu and then Serb G I'll give you my quick one and then we'll wrap yeah so just Dave to play off of sharp G and to wrap it up you actually wrote about it on your preview post for here uh serverless we're talking about how developers think about things um and you know Amazon in many ways you know is the new default server uh you know for the cloud um and containerization fits into the whole serverless Paradigm uh it's the space that I live in uh you know every day here and you know I was happy to see the last few years serverless and containers there's a blurring a line and you know subject we're still going to see VMS for a long time yeah yeah we will see that so give us give us your book Instagram my number six is innovation favorite scale that's my bumper sticker and and Amazon has that but also I I want everybody else to like the viewers to take a look at the the Google Cloud as well as well as IBM with others like maybe you have a better price to Performance there for certain workloads and by the way one vendor cannot do it alone we know that for sure the market is so big there's a lot of room for uh Red Hats of the world and and and Microsoft's the world to innovate so keep an eye on them they we need the competition actually and that's why competition Will Keep Us to a place where Market sets the price one vendor doesn't so the only only danger is if if AWS is a monopoly then I will be worried I think ecosystems are the Hallmark of a great Cloud company and Amazon's got the the biggest and baddest ecosystem and I think the other thing to watch for is Industries building on top of the cloud you mentioned the Goldman Sachs NASDAQ Capital One and Warner media these all these industries are building their own clouds and that's where the real money is going to be made in the latter half of the 2020s all right we're a wrap this is Dave Valente I want to first of all thank thanks to our great sponsors AWS for for having us here this is our 10th year at the cube AMD you know sponsoring as well the the the cube here Accenture sponsor to third set upstairs upstairs on the fifth floor all the ecosystem partners that came on the cube this week and supported our mission for free content our content is always free we try to give more to the community and we we take back so go to thecube.net and you'll see all these videos go to siliconangle com for all the news wikibon.com I publish weekly a breaking analysis series I want to thank our amazing crew here you guys we have probably 30 35 people unbelievable our awesome last session John Walls uh Paul Gillen Lisa Martin Savannah Peterson John Furrier who's on a plane we appreciate Andrew and Leonard in our ear and all of our our crew Palo Alto Boston and across the country thank you so much really appreciate it all right we are a wrap AWS re invent 2022 we'll see you in two weeks we'll see you two weeks at Palo Alto ignite back here in Vegas thanks for watching thecube the leader in Enterprise and emerging Tech coverage [Music]

>> From theCUBE Studios in Palo Alto and Boston, bringing you data-driven insights from theCUBE and ETR, this is Breaking Analysis with Dave Vellante. >> This past week we saw two of the Big 3 cloud providers present the latest update on their respective cloud visions, their business progress, their announcements and innovations. The content at these events had many overlapping themes, including modern cloud infrastructure at global scale, applying advanced machine intelligence, AKA AI, end-to-end data platforms, collaboration software. They talked a lot about the future of work automation. And they gave us a little taste, each company of the Metaverse Web 3.0 and much more. Despite these striking similarities, the differences between these two cloud platforms and that of AWS remains significant. With Microsoft leveraging its massive application software footprint to dominate virtually all markets and Google doing everything in its power to keep up with the frenetic pace of today's cloud innovation, which was set into motion a decade and a half ago by AWS. Hello and welcome to this week's Wikibon CUBE Insights, powered by ETR. In this Breaking Analysis, we unpack the immense amount of content presented by the CEOs of Microsoft and Google Cloud at Microsoft Ignite and Google Cloud Next. We'll also quantify with ETR survey data the relative position of these two cloud giants in four key sectors: cloud IaaS, BI analytics, data platforms and collaboration software. Now one thing was clear this past week, hybrid events are the thing. Google Cloud Next took place live over a 24-hour period in six cities around the world, with the main gathering in New York City. Microsoft Ignite, which normally is attended by 30,000 people, had a smaller event in Seattle, in person with a virtual audience around the world. AWS re:Invent, of course, is much different. Yes, there's a virtual component at re:Invent, but it's all about a big live audience gathering the week after Thanksgiving, in the first week of December in Las Vegas. Regardless, Satya Nadella keynote address was prerecorded. It was highly produced and substantive. It was visionary, energetic with a strong message that Azure was a platform to allow customers to build their digital businesses. Doing more with less, which was a key theme of his. Nadella covered a lot of ground, starting with infrastructure from the compute, highlighting a collaboration with Arm-based, Ampere processors. New block storage, 60 regions, 175,000 miles of fiber cables around the world. He presented a meaningful multi-cloud message with Azure Arc to support on-prem and edge workloads, as well as of course the public cloud. And talked about confidential computing at the infrastructure level, a theme we hear from all cloud vendors. He then went deeper into the end-to-end data platform that Microsoft is building from the core data stores to analytics, to governance and the myriad tooling Microsoft offers. AI was next with a big focus on automation, AI, training models. He showed demos of machines coding and fixing code and machines automatically creating designs for creative workers and how Power Automate, Microsoft's RPA tooling, would combine with Microsoft Syntex to understand documents and provide standard ways for organizations to communicate with those documents. There was of course a big focus on Azure as developer cloud platform with GitHub Copilot as a linchpin using AI to assist coders in low-code and no-code innovations that are coming down the pipe. And another giant theme was a workforce transformation and how Microsoft is using its heritage and collaboration and productivity software to move beyond what Nadella called productivity paranoia, i.e., are remote workers doing their jobs? In a world where collaboration is built into intelligent workflows, and he even showed a glimpse of the future with AI-powered avatars and partnerships with Meta and Cisco with Teams of all firms. And finally, security with a bevy of tools from identity, endpoint, governance, et cetera, stressing a suite of tools from a single provider, i.e., Microsoft. So a couple points here. One, Microsoft is following in the footsteps of AWS with silicon advancements and didn't really emphasize that trend much except for the Ampere announcement. But it's building out cloud infrastructure at a massive scale, there is no debate about that. Its plan on data is to try and provide a somewhat more abstracted and simplified solutions, which differs a little bit from AWS's approach of the right database tool, for example, for the right job. Microsoft's automation play appears to provide simple individual productivity tools, kind of a ground up approach and make it really easy for users to drive these bottoms up initiatives. We heard from UiPath that forward five last month, a little bit of a different approach of horizontal automation, end-to-end across platforms. So quite a different play there. Microsoft's angle on workforce transformation is visionary and will continue to solidify in our view its dominant position with Teams and Microsoft 365, and it will drive cloud infrastructure consumption by default. On security as well as a cloud player, it has to have world-class security, and Azure does. There's not a lot of debate about that, but the knock on Microsoft is Patch Tuesday becomes Hack Wednesday because Microsoft releases so many patches, it's got so much Swiss cheese in its legacy estate and patching frequently, it becomes a roadmap and a trigger for hackers. Hey, patch Tuesday, these are all the exploits that you can go after so you can act before the patches are implemented. And so it's really become a problem for users. As well Microsoft is competing with many of the best-of-breed platforms like CrowdStrike and Okta, which have market momentum and appear to be more attractive horizontal plays for customers outside of just the Microsoft cloud. But again, it's Microsoft. They make it easy and very inexpensive to adopt. Now, despite the outstanding presentation by Satya Nadella, there are a couple of statements that should raise eyebrows. Here are two of them. First, as he said, Azure is the only cloud that supports all organizations and all workloads from enterprises to startups, to highly regulated industries. I had a conversation with Sarbjeet Johal about this, to make sure I wasn't just missing something and we were both surprised, somewhat, by this claim. I mean most certainly AWS supports more certifications for example, and we would think it has a reasonable case to dispute that claim. And the other statement, Nadella made, Azure is the only cloud provider enabling highly regulated industries to bring their most sensitive applications to the cloud. Now, reasonable people can debate whether AWS is there yet, but very clearly Oracle and IBM would have something to say about that statement. Now maybe it's not just, would say, "Oh, they're not real clouds, you know, they're just going to hosting in the cloud if you will." But still, when it comes to mission-critical applications, you would think Oracle is really the the leader there. Oh, and Satya also mentioned the claim that the Edge browser, the Microsoft Edge browser, no questions asked, he said, is the best browser for business. And we could see some people having some questions about that. Like isn't Edge based on Chrome? Anyway, so we just had to question these statements and challenge Microsoft to defend them because to us it's a little bit of BS and makes one wonder what else in such as awesome keynote and it was awesome, it was hyperbole. Okay, moving on to Google Cloud Next. The keynote started with Sundar Pichai doing a virtual session, he was remote, stressing the importance of Google Cloud. He mentioned that Google Cloud from its Q2 earnings was on a $25-billion annual run rate. What he didn't mention is that it's also on a 3.6 billion annual operating loss run rate based on its first half performance. Just saying. And we'll dig into that issue a little bit more later in this episode. He also stressed that the investments that Google has made to support its core business and search, like its global network of 22 subsea cables to support things like, YouTube video, great performance obviously that we all rely on, those innovations there. Innovations in BigQuery to support its search business and its threat analysis that it's always had and its AI, it's always been an AI-first company, he's stressed, that they're all leveraged by the Google Cloud Platform, GCP. This is all true by the way. Google has absolutely awesome tech and the talk, as well as his talk, Pichai, but also Kurian's was forward thinking and laid out a vision of the future. But it didn't address in our view, and I talked to Sarbjeet Johal about this as well, today's challenges to the degree that Microsoft did and we expect AWS will at re:Invent this year, it was more out there, more forward thinking, what's possible in the future, somewhat less about today's problem, so I think it's resonates less with today's enterprise players. Thomas Kurian then took over from Sundar Pichai and did a really good job of highlighting customers, and I think he has to, right? He has to say, "Look, we are in this game. We have customers, 9 out of the top 10 media firms use Google Cloud. 8 out of the top 10 manufacturers. 9 out of the top 10 retailers. Same for telecom, same for healthcare. 8 out of the top 10 retail banks." He and Sundar specifically referenced a number of companies, customers, including Avery Dennison, Groupe Renault, H&M, John Hopkins, Prudential, Minna Bank out of Japan, ANZ bank and many, many others during the session. So you know, they had some proof points and you got to give 'em props for that. Now like Microsoft, Google talked about infrastructure, they referenced training processors and regions and compute optionality and storage and how new workloads were emerging, particularly data-driven workloads in AI that required new infrastructure. He explicitly highlighted partnerships within Nvidia and Intel. I didn't see anything on Arm, which somewhat surprised me 'cause I believe Google's working on that or at least has come following in AWS's suit if you will, but maybe that's why they're not mentioning it or maybe I got to do more research there, but let's park that for a minute. But again, as we've extensively discussed in Breaking Analysis in our view when it comes to compute, AWS via its Annapurna acquisition is well ahead of the pack in this area. Arm is making its way into the enterprise, but all three companies are heavily investing in infrastructure, which is great news for customers and the ecosystem. We'll come back to that. Data and AI go hand in hand, and there was no shortage of data talk. Google didn't mention Snowflake or Databricks specifically, but it did mention, by the way, it mentioned Mongo a couple of times, but it did mention Google's, quote, Open Data cloud. Now maybe Google has used that term before, but Snowflake has been marketing the data cloud concept for a couple of years now. So that struck as a shot across the bow to one of its partners and obviously competitor, Snowflake. At BigQuery is a main centerpiece of Google's data strategy. Kurian talked about how they can take any data from any source in any format from any cloud provider with BigQuery Omni and aggregate and understand it. And with the support of Apache Iceberg and Delta and Hudi coming in the future and its open Data Cloud Alliance, they talked a lot about that. So without specifically mentioning Snowflake or Databricks, Kurian co-opted a lot of messaging from these two players, such as life and tech. Kurian also talked about Google Workspace and how it's now at 8 million users up from 6 million just two years ago. There's a lot of discussion on developer optionality and several details on tools supported and the open mantra of Google. And finally on security, Google brought out Kevin Mandian, he's a CUBE alum, extremely impressive individual who's CEO of Mandiant, a leading security service provider and consultancy that Google recently acquired for around 5.3 billion. They talked about moving from a shared responsibility model to a shared fate model, which is again, it's kind of a shot across AWS's bow, kind of shared responsibility model. It's unclear that Google will pay the same penalty if a customer doesn't live up to its portion of the shared responsibility, but we can probably assume that the customer is still going to bear the brunt of the pain, nonetheless. Mandiant is really interesting because it's a services play and Google has stated that it is not a services company, it's going to give partners in the channel plenty of room to play. So we'll see what it does with Mandiant. But Mandiant is a very strong enterprise capability and in the single most important area security. So interesting acquisition by Google. Now as well, unlike Microsoft, Google is not competing with security leaders like Okta and CrowdStrike. Rather, it's partnering aggressively with those firms and prominently putting them forth. All right. Let's get into the ETR survey data and see how Microsoft and Google are positioned in four key markets that we've mentioned before, IaaS, BI analytics, database data platforms and collaboration software. First, let's look at the IaaS cloud. ETR is just about to release its October survey, so I cannot share the that data yet. I can only show July data, but we're going to give you some directional hints throughout this conversation. This chart shows net score or spending momentum on the vertical axis and overlap or presence in the data, i.e., how pervasive the platform is. That's on the horizontal axis. And we've inserted the Wikibon estimates of IaaS revenue for the companies, the Big 3. Actually the Big 4, we included Alibaba. So a couple of points in this somewhat busy data chart. First, Microsoft and AWS as always are dominant on both axes. The red dotted line there at 40% on the vertical axis. That represents a highly elevated spending velocity and all of the Big 3 are above the line. Now at the same time, GCP is well behind the two leaders on the horizontal axis and you can see that in the table insert as well in our revenue estimates. Now why is Azure bigger in the ETR survey when AWS is larger according to the Wikibon revenue estimates? And the answer is because Microsoft with products like 365 and Teams will often be considered by respondents in the survey as cloud by customers, so they fit into that ETR category. But in the insert data we're stripping out applications and SaaS from Microsoft and Google and we're only isolating on IaaS. The other point is when you take a look at the early October returns, you see downward pressure as signified by those dotted arrows on every name. The only exception was Dell, or Dell and IBM, which showing slightly improved momentum. So the survey data generally confirms what we know that AWS and Azure have a massive lead and strong momentum in the marketplace. But the real story is below the line. Unlike Google Cloud, which is on pace to lose well over 3 billion on an operating basis this year, AWS's operating profit is around $20 billion annually. Microsoft's Intelligent Cloud generated more than $30 billion in operating income last fiscal year. Let that sink in for a moment. Now again, that's not to say Google doesn't have traction, it does and Kurian gave some nice proof points and customer examples in his keynote presentation, but the data underscores the lead that Microsoft and AWS have on Google in cloud. And here's a breakdown of ETR's proprietary net score methodology, that vertical axis that we showed you in the previous chart. It asks customers, are you adopting the platform new? That's that lime green. Are you spending 6% or more? That's the forest green. Is you're spending flat? That's the gray. Is you're spending down 6% or worse? That's the pinkest color. Or are you replacing the platform, defecting? That's the bright red. You subtract the reds from the greens and you get a net score. Now one caveat here, which actually is really favorable from Microsoft, the Microsoft data that we're showing here is across the entire Microsoft portfolio. The other point is, this is July data, we'll have an update for you once ETR releases its October results. But we're talking about meaningful samples here, the ends. 620 for AWS over a thousand from Microsoft in more than 450 respondents in the survey for Google. So the real tell is replacements, that bright red. There is virtually no churn for AWS and Microsoft, but Google's churn is 5x, those two in the survey. Now 5% churn is not high, but you'd like to see three things for Google given it's smaller size. One is less churn, two is much, much higher adoption rates in the lime green. Three is a higher percentage of those spending more, the forest green. And four is a lower percentage of those spending less. And none of these conditions really applies here for Google. GCP is still not growing fast enough in our opinion, and doesn't have nearly the traction of the two leaders and that shows up in the survey data. All right, let's look at the next sector, BI analytics. Here we have that same XY dimension. Again, Microsoft dominating the picture. AWS very strong also in both axes. Tableau, very popular and respectable of course acquired by Salesforce on the vertical axis, still looking pretty good there. And again on the horizontal axis, big presence there for Tableau. And Google with Looker and its other platforms is also respectable, but it again, has some work to do. Now notice Streamlit, that's a recent Snowflake acquisition. It's strong in the vertical axis and because of Snowflake's go-to-market (indistinct), it's likely going to move to the right overtime. Grafana is also prominent in the Y axis, but a glimpse at the most recent survey data shows them slightly declining while Looker actually improves a bit. As does Cloudera, which we'll move up slightly. Again, Microsoft just blows you away, doesn't it? All right, now let's get into database and data platform. Same X Y dimensions, but now database and data warehouse. Snowflake as usual takes the top spot on the vertical axis and it is actually keeps moving to the right as well with again, Microsoft and AWS is dominant in the market, as is Oracle on the X axis, albeit it's got less spending velocity, but of course it's the database king. Google is well behind on the X axis but solidly above the 40% line on the vertical axis. Note that virtually all platforms will see pressure in the next survey due to the macro environment. Microsoft might even dip below the 40% line for the first time in a while. Lastly, let's look at the collaboration and productivity software market. This is such an important area for both Microsoft and Google. And just look at Microsoft with 365 and Teams up into the right. I mean just so impressive in ubiquitous. And we've highlighted Google. It's in the pack. It certainly is a nice base with 174 N, which I can tell you that N will rise in the next survey, which is an indication that more people are adopting. But given the investment and the tech behind it and all the AI and Google's resources, you'd really like to see Google in this space above the 40% line, given the importance of this market, of this collaboration area to Google's success and the degree to which they emphasize it in their pitch. And look, this brings up something that we've talked about before on Breaking Analysis. Google doesn't have a tech problem. This is a go-to-market and marketing challenge that Google faces and it's up against two go-to-market champs and Microsoft and AWS. And Google doesn't have the enterprise sales culture. It's trying, it's making progress, but it's like that racehorse that has all the potential in the world, but it's just missing some kind of key ingredient to put it over at the top. It's always coming in third, (chuckles) but we're watching and Google's obviously, making some investments as we shared with earlier. All right. Some final thoughts on what we learned this week and in this research: customers and partners should be thrilled that both Microsoft and Google along with AWS are spending so much money on innovation and building out global platforms. This is a gift to the industry and we should be thankful frankly because it's good for business, it's good for competitiveness and future innovation as a platform that can be built upon. Now we didn't talk much about multi-cloud, we haven't even mentioned supercloud, but both Microsoft and Google have a story that resonates with customers in cross cloud capabilities, unlike AWS at this time. But we never say never when it comes to AWS. They sometimes and oftentimes surprise you. One of the other things that Sarbjeet Johal and John Furrier and I have discussed is that each of the Big 3 is positioning to their respective strengths. AWS is the best IaaS. Microsoft is building out the kind of, quote, we-make-it-easy-for-you cloud, and Google is trying to be the open data cloud with its open-source chops and excellent tech. And that puts added pressure on Snowflake, doesn't it? You know, Thomas Kurian made some comments according to CRN, something to the effect that, we are the only company that can do the data cloud thing across clouds, which again, if I'm being honest is not really accurate. Now I haven't clarified these statements with Google and often things get misquoted, but there's little question that, as AWS has done in the past with Redshift, Google is taking a page out of Snowflake, Databricks as well. A big difference in the Big 3 is that AWS doesn't have this big emphasis on the up-the-stack collaboration software that both Microsoft and Google have, and that for Microsoft and Google will drive captive IaaS consumption. AWS obviously does some of that in database, a lot of that in database, but ISVs that compete with Microsoft and Google should have a greater affinity, one would think, to AWS for competitive reasons. and the same thing could be said in security, we would think because, as I mentioned before, Microsoft competes very directly with CrowdStrike and Okta and others. One of the big thing that Sarbjeet mentioned that I want to call out here, I'd love to have your opinion. AWS specifically, but also Microsoft with Azure have successfully created what Sarbjeet calls brand distance. AWS from the Amazon Retail, and even though AWS all the time talks about Amazon X and Amazon Y is in their product portfolio, but you don't really consider it part of the retail organization 'cause it's not. Azure, same thing, has created its own identity. And it seems that Google still struggles to do that. It's still very highly linked to the sort of core of Google. Now, maybe that's by design, but for enterprise customers, there's still some potential confusion with Google, what's its intentions? How long will they continue to lose money and invest? Are they going to pull the plug like they do on so many other tools? So you know, maybe some rethinking of the marketing there and the positioning. Now we didn't talk much about ecosystem, but it's vital for any cloud player, and Google again has some work to do relative to the leaders. Which brings us to supercloud. The ecosystem and end customers are now in a position this decade to digitally transform. And we're talking here about building out their own clouds, not by putting in and building data centers and installing racks of servers and storage devices, no. Rather to build value on top of the hyperscaler gift that has been presented. And that is a mega trend that we're watching closely in theCUBE community. While there's debate about the supercloud name and so forth, there little question in our minds that the next decade of cloud will not be like the last. All right, we're going to leave it there today. Many thanks to Sarbjeet Johal, and my business partner, John Furrier, for their input to today's episode. Thanks to Alex Myerson who's on production and manages the podcast and Ken Schiffman as well. Kristen Martin and Cheryl Knight helped get the word out on social media and in our newsletters. And Rob Hof is our editor in chief over at SiliconANGLE, who does some wonderful editing. And check out SiliconANGLE, a lot of coverage on Google Cloud Next and Microsoft Ignite. Remember, all these episodes are available as podcast wherever you listen. Just search Breaking Analysis podcast. I publish each week on wikibon.com and siliconangle.com. And you can always get in touch with me via email, david.vellante@siliconangle.com or you can DM me at dvellante or comment on my LinkedIn posts. And please do check out etr.ai, the best survey data in the enterprise tech business. This is Dave Vellante for the CUBE Insights, powered by ETR. Thanks for watching and we'll see you next time on Breaking Analysis. (gentle music)

(ethereal music) >> Good morning, everyone, and welcome to theCUBE's day-two coverage of Snowflake Summit '22. Lisa Martin here with Dave Vellante. We are live in Las Vegas at Caesar's Forum, looking forward to an action-packed day here on theCUBE. Our first guest joins us, Bill Stratton, the global industry lead, media, entertainment and advertising at Snowflake. Bill, great to have you on the program talking about industry specifics. >> Glad to be here, excited to have a conversation. >> Yeah, the media and entertainment industry has been keeping a lot of us alive the last couple of years, probably more of a dependence on it than we've seen stuck at home. Talk to us about the data culture in the media, entertainment and advertising landscape, how is data being used today? >> Sure. Well, let's start with what you just mentioned, these last couple of years, I think, coming out of the pandemic, a lot of trends and impact to the media industry. I think there were some things happening prior to COVID, right? Streaming services were starting to accelerate. And obviously, Netflix was an early mover. Disney launched their streaming service right before the pandemic, Disney+, with ESPN+ as well. I think then, as the pandemic occurred these last two years, the acceleration of consumers' habits, obviously, of not just unbundling their cable subscription, but then choosing, you know, what services they want to subscribe to, right? I mean, I think we all sort of grew up in this era of, okay, the bundle was the bundle, you had sports, you had news, you had entertainment, whether you watched the channel or not, you had the bundle. And what the pandemic has accelerated is what I call, and I think a lot of folks call, the golden age of content. And really, the golden age of content is about the consumer. They're in control now, they pick and choose what services they want, what they watch, when they watch it. And I think that has extremely, sort of accelerated this adoption on the consumer side, and then it's creating this data ecosystem, as a result of companies like Disney having a direct-to-consumer relationship for the first time. It used to be a Disney or an NBC was a wholesaler, and the cable or satellite company had the consumer data and relationship. Now, the companies that are producing the content have the data and the consumer relationships. It's a fascinating time. >> And they're still coming over the top on the Telco networks, right? >> Absolutely right. >> Telco's playing in this game? >> Yeah, Telco is, I think what the interesting dynamic with Telco is, how do you bundle access, high speed, everybody still needs high speed at their home, with content? And so I think it's a similar bundle, but it takes on a different characteristic, because the cable and Telcos are not taking the content risk. AT&T sold Warner Media recently, and I think they looked at it and said, we're going to stay with the infrastructure, let somebody else do the content. >> And I think I heard, did I hear this right the other day, that Roku is now getting into the content business? >> Roku is getting into it. And they were early mover, right? They said the TVs aren't, the operating system in the television is not changing fast enough for content. So their dongle that you would slide into a TV was a great way to get content on connected televisions, which is the fastest growing platform. >> I was going to say, what are the economics like in this business? Because the bundles were sort of a limiting factor, in terms of the TAM. >> Yeah. >> And now, we get great content, all right, to watch "Better Call Saul", I have to get AMC+ or whatever. >> You know, your comment, your question about the economics and the TAM is an interesting one, because I think we're still working through it. One of the things, I think, that's coming to the forefront is that you have to have a subscription revenue stream. Okay? Netflix had a subscription revenue stream for the last six, eight, 10 years, significantly, but I think you even see with Netflix that they have to go to a second revenue model, which is going to be an ad-supported model, right? We see it in the press these last couple days with Reid Hastings. So I think you're going to see, obviously subscription, obviously ad-supported, but the biggest thing, back to the consumer, is that the consumer's not going to sit through two minutes of advertising to watch a 22 minute show. >> Dave: No way. >> Right? So what's then going to happen is that the content companies want to know what's relevant to you, in terms of advertising. So if I have relevancy in my ad experience, then it doesn't quite feel, it's not intrusive, and it's relevant to my experience. >> And the other vector in the TAM, just one last follow-up, is you see Amazon, with Prime, going consumption. >> Bill: That's right. >> You get it with Prime, it's sort of there, and the movies aren't the best in the world, but you can buy pretty much any movie you want on a consumption basis. >> Yeah. Just to your last quick point, there is, we saw last week, the Boston Red Sox are bundling tickets, season tickets, with a subscription to their streaming service. >> NESN+, I think it is, yeah. So just like Prime, NESN+- >> And it's like 30 bucks a month. >> -just like Prime bundling with your delivery service, you're going to start to see all kinds of bundles happen. >> Dave: Interesting. >> Man, the sky is the limit, it's like it just keeps going and proliferating. >> Bill: It does. >> You talk about, on the ad side for a second, you mentioned the relevance, and we expect that as consumers, we're so demanding, (clears throat) excuse me, we don't have the patience, one of the things I think that was in short supply during COVID, and probably still is, is patience. >> That's right. >> I think with all of us, but we expect that brands know us enough to surf up the content that they think we watched, we watched "Breaking Bad", "Better Call Saul", don't show me other things that aren't relevant to the patterns I've been showing you, the content creators have to adapt quickly to the rising and changing demands of the consumer. >> That's right. Some people even think, as you go forward and consumers have this expectation, like you just mentioned, that brands not only need to understand their own view of the consumer, and this is going to come into the Snowflake points that we talk about in a minute, but the larger view that a brand has about a consumer, not just their own view, but how they consume content, where they consume it, what other brands they even like, that all builds that picture of making it relevant for the consumer and viewer. >> Where does privacy come into the mix? So we want it to be relevant and personalized in a non-creepy way. Talk to us about the data clean rooms that Snowflake launched, >> Bill: That's right. >> and how is that facilitating from a PII perspective, or is it? >> Yeah. Great question. So I think the other major development, in addition to the pandemic, driving people watching all these shows is the fact that privacy legislation is increasing. So we started with California with the CCPA, we had GDPR in Europe, and what we're starting to see is state by state roll out different privacy legislations. At some point, it may be true that we have a federal privacy legislation, and there are some bills that are working through the legislature right now. Hard to tell what's going to happen. But to your question, the importance of privacy, and respecting privacy, is exactly happening at the same time that media companies and publishers need to piece together all the viewing habits that you have. You've probably watched, already this morning, on your PC, on your phone, and in order to bring that experience together a media company has to be able to tie that together, right? Collaborate. So you have collaboration on one side, and then you have privacy on the other, and they're not necessarily, normally, go together, Right? They're opposing forces. So now though, with Snowflake, and our data clean room, we like to call it a data collaboration platform, okay? It's not really what a data warehouse function traditionally has been, right? So if I can take data collaboration, and our clean room, what it does is it brings privacy controls to the participants. So if I'm an advertiser, and I'm a publisher, and I want to collaborate to create an advertising campaign, they both can design how they want to do that privacy-based collaboration, Because it's interesting, one company might have a different perspective of privacy, on a risk profile, than another company. So it's very hard to say one size is going to fit all. So what we at Snowflake do, with our infrastructure, is let you design how you create your own clean room. >> Is that a differentiator for Snowflake, the clean rooms? >> It's absolutely a very big differentiator. Two reasons, or probably two, three reasons, really. One is, it's cross cloud. So all the advertisers aren't going to be in the same cloud, all the publishers aren't going to be in the same cloud. One big differentiator there. Second big differentiator is, we want to be able to bring applications to the data, so our clean room can enable you to create measurement against an ad campaign without moving your data. So bringing measurement to the data, versus sending data to applications then improves the privacy. And then the third one is, frankly, our pricing model. You only pay for Snowflake what you use. So in the advertising world, there's what's called an ad tech tax, there is no ad tech tax for Snowflake, because we're simply a pay-as-you-go service. So it's a very interesting dynamic. >> So what's that stack look like, in your world? So I've pulled up Frank's chart, I took a picture of his, he's called it the new, modern data stack, I think he called it, but it had infrastructure in the bottom, okay, that's AWS, Google, Azure, and then a lot of you, live data, that would be the media data cloud, the workload execution, the specific workload here is media and entertainment, and then application development, that's a new layer of value that you're bringing in, marketplace, which is the whole ecosystem, and then monetization comes from building on top. >> Bill: Yes. >> So I got AWS in there, and other clouds, you got a big chunk of that, where do your customers add value on top of that? >> Yeah. So the way you described it, I think, with Frank's point, is right on. You have the infrastructure. We know that a lot of advertisers, for example, aren't going to use Amazon, because the retailer competes with Amazon, So they want to might be in Google or Azure. And then sort of as you go up the stack, for the data layer that is Snowflake, especially what we call first-party data, is sitting in that Snowflake environment, right? But that Snowflake environment is a distributed environment, so a Disney, who was on stage with me yesterday, she talked about, Jaya talked about their first-party datas in Snowflake, their advertisers' datas in their own Snowflake account, in their own infrastructure. And then what's interesting is is that application layer is coming to the data, and so what we're really seeing is an acceleration of companies building that application natively on Snowflake to do measurement, to do targeting, to do activation. And so, that growth of that final application layer is what we're seeing as the acceleration in the stack. >> So the more data that's in that massive distributed data cloud, the more value your customers can get out of it. And I would imagine you're just looking to tick things off that where customers are going outside of the Snowflake data cloud, let's attack that so they don't have to. >> Yeah, I think these partners, (clears throat) excuse me, and customers, it's an interesting dynamic, because they're customers of ours. But now, because anybody who is already in Snowflake can be their customer, then they're becoming our partner. So it's an interesting dynamic, because we're bringing advertisers to a Disney or an NBCU, because they already have their data in Snowflake. So the network effect that's getting created because of this layer that's being built is accelerated. >> In 2013, right after the second reinvent, I wrote a piece called "How to Compete with the Amazon Gorilla." And it seemed to us pretty obvious at the time, you're not going to win an infrastructure again, you got to build on top of it, you got to build ecosystems within industries, and the data, the connection points, that network effect that you just talked about, it's actually quite thrilling to see you guys building that. >> Well, and I think you know this too, I mean, Amazon's a great partner of ours as well, right? So they're part of our media data cloud, as Amazon, right? So we're making it easier and easier for companies to be able to spin up a clean room in places like AWS, so that they get the privacy controls and the governance that's required as well. >> What do you advise to, say, the next generation of media and advertising companies who may be really early in the data journey? Obviously, there's competition right here in the rear view mirror, but we've seen services that launch and fail, what do you advise to those folks that maybe are early in the journey and how can Snowflake help them accelerate that to be able to launch services they can monetize, and get those consumers watching? >> I think the first thing for a lot of these brands is that they need to really own their data. And what I mean by that is, they need to understand the consumer relationship that they have, they need to take the privacy and the governance very seriously, and they need to start building that muscle. It's almost, it's a routine and a muscle that they just need to continue to kind of build up, because if you think about it, a media company spends two, three hours a day with their customer. You might watch two hours of a streaming show, but how much time do you spend with a single brand a day? Maybe 30 seconds, maybe 10 seconds, right? And so, their need to build the muscle, to be able to collect the data in a privacy-compliant way, build the intelligence off of that, and then leverage the intelligence. We talked about it a few days ago, and you look at a retailer, as a really good example, a retailer is using Snowflake and the retail data cloud to optimize their supply chain. Okay? But their supply chain extends beyond their own infrastructure to the advertising and marketing community, because if I can't predict demand, how do I then connect it to my supply chain? So our media data cloud is helping retailers and consumer product goods companies actually drive demand into their reconstructed supply chain. So they both work together. >> So you have a big focus, obviously, on the monetization piece, of course, that's a great place to start. Where do you see the media data cloud going? >> Yeah. I think we'll start to expand beyond advertising and beyond marketing. There's really important sub-segments of media. Gaming is one. You talk about the pandemic and teenagers playing games on their phones. So we'll have an emphasis around gaming. We'll have an emphasis in sports. Sports is going through a big change in an ecosystem. And there's a big opportunity to connect the dots in those ecosystems as well. And then I think, to what we were just talking about, I think connecting commerce and media is a very important area. And I think the two are still very loosely connected today. It used to be, could I buy the Jennifer Aniston sweater from "Friends", right? That was always the analogy. Now, media and social media, and TikTok and everything else, are combining media and commerce very closely. So I think we'll start to see more focus around that as well. So that adds to your monetization. >> Right, right. And you can NFT that. (Lisa laughs) >> Bill: That's right, there you go, you can mint an NFT on that. >> It's the tip of the iceberg. >> Absolutely. >> There's so much more potential to go. Bill, thank you so much for joining us bright and early this morning, talking about what snowflake is doing in media, entertainment and advertising. Exciting stuff, relevant to all of us, we appreciate your insights and your forward-looking statements. >> Thank you for having me. I enjoyed it. >> Our pleasure. >> Thank you. >> Good >> Bill: Bye now. >> For our guest and Dave Vellante, I'm Lisa Martin, you're up early with us watching theCUBE's day-two coverage of Snowflake Summit '22. We'll be back in a moment with our next guest. (upbeat music)

>>Welcome back to VMO 2022. We're in the home stretch. Now, Dave ante for Dave Nicholson, and we're excited to have drew Schlissel on he's the director of product marketing at wasabi, and he is joined by Dustin Albertson, the manager of cloud and application alliances, product, product management at Veeam software. Dustin, did I get that right? You got it right. All right. You're gonna explain all those little titles in a moment. So wasabi is a company cool name, but you may not know much about them drew. What does wasabi do? >>We do cloud storage, plain and simple. It is the one thing we do extremely well. It's S3 compatible, and it covers a broad range of use cases, right? Primarily we work with Veeam on backup and recovery, and >>We're gonna get into that. But when we, what there's a lot of people do cloud storage, a lot of people do object store. What makes you wasabi unique >>Simplicity, predictability performance security, right? Predictability. Let's talk about price, right? That's the thing that gets people's attention, right? Oh, sure. Okay. You can look at it. One of two ways. It's either one fit the price of all the hyperscalers, significant difference there, or right. For fundamentally the same price. You get five times more storage, which makes a huge difference, especially in the backup space. When you want to have a lot of backups, right. Folks would prefer to have months of backups as opposed to days or weeks. Right? >>How do you, how do you do that? Because, because there's, you know, maybe >>It sounds like magic, doesn't >>It? Yeah. Yeah. I mean, you know, look at us, we've all been around the block quite a few times and we know that the bits and the bites and the bolts are all basically the same. What are you doing to get that level of? >>I can't tell you >>Secret's secret. It's secret. >>Look, it, it doesn't have to be that expensive. Okay. Now granted, there's some things obviously we do that are proprietary and different from, >>Well, like stealing electricity from your neighbor or something. I mean, what, >>You just run a cord over a >>Absolutely that's one way to cut down on price. But because we are so focused on just the storage, right. And our founders, you know, the gentleman who founded Carbonite, no a thing or two about storage. Sure. Right. We have a very highly optimized stack, very efficient. You know, you guys know what raw to usable story is. Right? You've gone through that TCO analysis before, and we're highly efficient in how we use the raw storage. And we pass that price on to our customers. Right. We believe that a low price cloud storage, right? One tier always hot, always available. It gives our customers the ability to spend their money in other places. Right. >>Well, and, and there's a price umbrella that the public cloud guys have is kind of a gift that they've given you. Hey, look at Amazon's operating profits last quarter. It was 35%. Those are like Oracle operating margins. Not that I, we don't know what your operating margins are, but I I've followed David friend's career for a long, long time. He's got good nose for business. But so Dustin, when you, when you hear drew talk about the ability to retain that much data, what does that mean for Veeam customers? >>So the primary thing for Veeam customers is the ease of use. I would say, you know, the, the performance and things like that are all nice, right? They're, they're important. But primarily what I see is people say how easy it is to use and how easy it is to price. Now, the objective, you know, the alternative is you go to another cloud provider and you say, well, how much will this cost me per month? You really have to underst yes, you really have to understand object storage, how Veeam works, how we're moving data, all the API calls, all of that to really kind of correlate out a guesstimate of what your price would be per month. You know, with LASA it's, it's a flat fee it's per terabyte. You know what it is gonna be? That's it? There's no API charges. There's no egres. So the customers really love that. Ease of use this become one of the most popular endpoints for object storage for our customers. >>Imagine this, right? You go to best buy and you buy a refrigerator and you bring it home and you stock it with all your favorite drinks and snacks. Okay. You on game day, you go and you open the fridge and you hear a sound Bing. And it's your phone and it's your credit card company telling you that you've been charged a door opening fee. Okay. And then you grab a beer out of that fridge, Bing, Bing, and you hear another ring and now you're getting a beer extraction fee. Okay. Now I want to be fair to, you know, all the sponsors here, but okay. With wasabi, you can open that door. You could stand there. You can air condition, the whole house. You can take a beer out and put a beer back or whatever your favorite beverage is. And you're not gonna hear that noise. Okay. Very straightforward. Like in, in geometry class, right? The slope of a line Y equals MX plus B B equals zero. Okay. Well, >>Whoa. Well, you had me at free beer. You didn't, >>You don't, but you understand why? >>Why would you, you don't need to go see >>To open your fridge and take out a beverage, take out a snack. Okay. That's the predictable part of wasabi. That's what's resonating so strongly with folks where everything else is in this world. Unpredictable. >>So ease, simplicity. Maybe the answer to that is, well, there's all this other stuff in the cloud. I can just, it's convenient for me. It's right there. So how do you address that convenience factor? All these other services, you know, that I can get streaming and machine learning and all that other great stuff. How do you address that? >>Sometimes all you need is storage. Okay. That no, it that's yet put, okay. That's beauty of wasabi. We're not trying to be everything to everyone. We're trying to be one thing executed very well for a, a specific set of users and use cases. >>I may be a little objective here, but I, I, you know, I've grown up with you guys, right? You, you, you were one of the first partners that I started working with and, and, you know, I've seen you kind of grow, but one of the things I think that you've done a real good job at is, is like you say, sticking to your, your lanes, you know, just going after use cases that just need data. Right. I don't need to get into the AI or the analytics or all of this. We just do this and do it well. And, and people have resonated with that. Right? Yeah. >>So big topic here of course is ransomware. Yeah. 3, 2 11, 0. What is that? What are the threes? The twos, the ones >>That's you, you gotta explain that one. Okay. >>So forever we had the 3, 2, 1 rule, right? Like three copies of data, two different, two different copies, two different media types. Yeah. One offsite. And then one is, is testing. And then zero now is, is validation. BA basically reuse that data. Make sure that you're testing it because if you're not, if you're following through two one, and you're not actually testing your data, is it really good? You don't know. You're just, you may have bad copies spread out all over the place. So one of the things where wasabi shines is is that they don't have these E risk charges. They don't have these API charges. So you can test that data. You can, after you send a backup up there, restore it somewhere else and validate that it works and then get rid of it. And it's still sitting up there in BAA. >>So you're not trying to balance your activities and your operational requirements with your, with your bill. Correct. You're not getting yelled at, by the, the controller at the end of the month. >>You're unconstrained. Yeah. Right. And I think also imutability comes into play. Correct. As well. >>Talk about >>That. Right. So, you know, we heard this morning in the keynote, right? That backup data sets are, you know, one of the main attack vectors, right. For cyber criminals. And it makes sense, right. They take down your primary systems and they control your backup systems. They've got you. You have no choice, but to pay that ransom. Okay. So mutability, that means that your backups are untouchable, your root user, your admins, the folks at wasabi, the folks at Veeam, nobody can alter that data period. End of story. Okay. That saves you from yourself that saves you from the hackers, right? I mean the most disturbing story I've read about cyber warfare right now is that people are getting bribe offers from these cyber gangs. And they're just, you know, for a couple of Bitcoin handing over the keys to the kingdom with imutability, you're actually safe from that scenario. >>So that's a service, correct? >>No, it's a feature. >>Okay. So can I turn it off? >>Yeah. You don't have to use it. >>No. Can I, after I've, after I've turned it on, can I turn it off? >>Oh, it's up to you. I mean, why don't you talk about >>That? Yeah. Yeah. So it's, it's an API. So if let's say you send some backups up there today and you set it for two weeks and you decide today. Oh, I made a mistake. I wanna turn it off. You can't turn it off. Yeah. >>Okay. So as long as you set that policy, it's, it's a big warning, right? You can't undo this. Correct. Okay. So even if I come, come to jump to the admin with a bunch of Bitcoin yep. He or she can't undo, right? >>Nope. That's right. And you can set it for two weeks, two months, two years. Right. You can use it to secure your backups. Yep. Right. You can also use that same feature in compliance situations. Right. Regulatory environments, where you've gotta retain customer data for, you know, 5, 7, 10 years. Right. By using that imutability feature, you guarantee the integrity of that data for whatever period you set. >>And it's a feature it's not a paid for service. Is that right? >>It is included as part of the service. >>Okay. So I don't >>Free beer and free meat. >>I think I'm correct that some, some competitors you're paying for that service. So if you turn it off, there's a, if you don't stop paying, there's a, there's a theory. They could turn it off on you. They will warn you. >>Sure. But >>That says to me that somebody could be tempted by a few Bitcoin. >>That's not a mutable. Well's >>Notable. I agree. Yeah. Yeah. Yeah. >>Well, and, and there is a charge to use it in other places because it's an API request. Right. It's an action. It's opening the fridge. >>It's like texting. Yes. Maybe a charge. >>Yeah. I remember. I remember those days. Was it 10 cents? A 10 cents a message or something Telegraph. >>Yeah. >>Yeah. >>Yeah. You still get those messages. Right? Text, text fees may apply. I'm like really? Okay. So tell me more about, so you got me. I'm sold. Okay. I've I've David friends got good job. Got cred, got credibility. Okay. But I have some other questions. Like where's my data. You guys running your own data centers. What's your global footprint. How do you deal with data sovereignty? All that stuff. >>So right now, oh boy. Now I'm on the spot. I wanna say 11 locations around the world. It's our gear. We're running it in concert with folks who are helping us host that system. Right. But we have complete control of course, over our systems. We're everywhere. Right? Just open, let's see. Toronto Frankfurt, Paris, London, Sydney just spun up in the last week. We've got Singapore coming online. I think in the next two weeks. Two >>In Japan. >>Yep. Two in Japan, multiple locations in the United States. So in terms of sovereignty, right, as long as folks are keeping it within, you know, their, their physical boundaries, not a problem. And if folks want to use, you know, other locations in other countries, great. We can support that as well. >>So you got momentum as a business. I mean, that's pretty clear. Yeah. Just from the discussions I've had with, with folks like David, and obviously you you're excited about this, where's it coming from? Is it really that, that price factor that's driving people to you? Is it Dustin said simplicity. I mean, where are you seeing the momentum geographies? Where is it? Where's the action. >>I I'll say, you know, from my point of view, it's, it's been a combination of all that, right? It, it's simple. It's easy to use a, like a user can, any user who's not cloud friendly, right. Can log in and create one. It's a simple portal to create a bucket and then start sending stuff off site. But also they've, they've kind of, they reminded me of a younger Veeam, like when they first started, because they went after the channel and they went and started these partner programs and, and MSP programs and things like that that have been really successful as far as one of the key markets is MSPs. Right? Because they, you know, want a cheap place to put this data. They don't wanna have to buy appliances. They don't wanna have to go to AWS and things like that. So this has been really appealing to >>Them. You know, it's interesting. So I have a, we have a partnership with a data company down in New York called enterprise technology research. We write a breaking analysis every week and we use a lot of their data. One of the things that popped up recently, maybe a year ago, OpenStack I'm like OpenStack. So we dug in like where's OpenStack and what it was was MSPs didn't want pay the VTax. Right. So they were rolling their own with, with open source and open stack. It was red hat services, blah, blah, blah. But it sounds like a similar dynamic, especially with the MSPs. >>I, so I think we've, I, I hate to use the, the metaphor, but I will. Right. There's a perfect storm happening, right. Especially in the last, what, two years. All right. The cloud has been gaining traction, but we've been around long enough to see the pendulum swinging. Right. Some folks went crazy for the cloud and then they got their bill and then they went crazy to get back out of the cloud. But now, you know, with distributed workforces, with the, you know, the, the constant attacks on their, their on-prem systems, right. The growth in cloud across the board has been phenomenal. I know you're a market watcher. Right. I know you guys are keeping close eyes. I saw your recent analysis on the cybersecurity firms. Right. It continues to grow. There's no question about it. We're we're on that wave. Right. And I think we've, you know, we're not, we're, we're, I don't know if it's the long board or the short little snappy board. Yes. We actually identify and, and, and went after the opportunity to partner with Veeam very early on, because it's the perfect work case work, work load. >>How long can you sustain that? And still resist the temptation to come out with some new shiny object to distract people? >>I >>Mean, what, what, what does that, what does that look like in terms of, as you look out in this laser focused yeah. Addressable market that you're going after now. >>So, you know, the best part about being here this week is having great conversations and, and talking to folks about what they're seeing in the marketplace and the different verticals. I don't think we've even scratched the surface of any of the verticals that we are working in today. Right. First and foremost, when it comes to backup and recovery, there's so much more opportunity with Veeam, right? Whether it's healthcare, manufacturing, logistics, analytics, backup of IML, you know, analysis, I think it's almost limitless, right. Data's growing what, 40, 80% year, over year, depending on who you ask. Right. Then the other things that we do, which maybe folks don't even know about, we have a burgeoning business in video surveillance, right. We're working with all the top partners in that sector. And the takeup is phenomenal because they are tweaking their technology to maintain a relatively small cash, right. OnPrem or in the central office. And then they're just kind of, you know, tearing that off to the cloud to have essentially a bottomless backup or archive of that footage. And they can do it at 4k. Here's the best part, right. When AK comes out, guess what, you know, that data set doubles in size. >>Right. But that's right in your zone. That's not stepping out that that's not stepping after that's that's classic leveraging. Good >>Answer. In other words. Yeah. Yeah. Thank you. >>I mean, if >>You're, if you're, if you're hitting singles and doubles all day long, right. Do you have to switch to be a power hitter and go for the fences and drop your batting average down, but hope that your slugging percentage goes up. I think you keep hitting singles doubles, you know, in triples, >>A lot of people on Sandhill road or, you know, at the bar at the Rosewood would disagree with you. Wow. And so I, I appreciate the discipline. >>Yeah. And it's true. And, and as we know, the industry is littered with a lot of those names that just didn't didn't make it >>Let's stay positive, you know? >>Okay. No he's saying yeah, no, no. A lot of guys at sand hill road would say, no, you gotta go for it. Yeah. You gotta, you gotta forget these singles. We want, >>Yeah. We need home runs gotta be >>Shiny. Well, I mean, look at Vema as a, as a, as an example right. Of a disciplined approach. Right. Exactly. To, to a space that they have steadily grown. I mean, congratulations. Right. You guys have been identified by IDC, right. Is essentially, you know, co number ones. And I expect that to be the number one in the market. Right. I think, you know, David friend clearly has provided excellent guidance, right. To steer the company that way. And I'm just really happy >>To be about that. Oh. And the Tam is data. Right. And you're, you're just another node on the data universe. Right. Which is, that's what you want. You want, you don't necessarily wanna move it around. Yeah. If you don't have to. >>It is interesting though. I mean, we, we are seeing more and more analysts identifying with Sabi as like the fourth player. Yeah. Which is pretty cool. Right. And I also heard it from some good sources this week that let's say one of the hyperscalers has, you know, started to yeah. Have conversations about us. Let's just >>Leave it. That's good. It means you're bothering people. Yeah. Said, all right, guys, we gotta go. Thanks so much for coming on the queue. Thank you. Great to have you. That was easy. Thank you. Appreciate it. Very welcome. All right. Keep it right there. We'll be back to wrap up day one from VMO in 2022, right back.

(upbeat music) >> Okay, welcome back everyone to theCUBE's coverage of AWS re:Invent 2021. We're here live in Las Vegas for an in-person event. Of course, it's a hybrid event, virtual online. Many people online. A lot of people here on the event, a lot of action. cloud going next generation, mainframe transformation, more analytics, more chips, everything's faster and cheaper and getting better and better in the cloud. We've got the great coverage. We've got two great guests. We got Justin Hooper vice president of Global Operations Infrastructure Ingram Micro and JP Perot, EVP of Telecom Media and Technology and AWS executive sponsor for Atos. Gentlemen, thank you for joining me on theCUBE. >> Thank you. >> Thank you, glad to be here. >> So what is it about the conference so far? Pretty good, like a lot of people here? >> Super exciting. >> 27,000 people showing up. >> It's amazing. >> Real people not workers. >> Yeah, it feels almost normal. >> Yeah I can't believe the turnout. >> Got a great topic, you guys working together you got mainframe, you got analytics, transformation. Let's get into it. Let's start by introducing what you guys do, your company, and why you are here. JP, we'll start with you. >> Yeah, I can start. Okay, so yeah, so I'm leading, you know, in Atos all the cloud business and telecom media technology, Atos is a big company is a service and technology company, 11 billion Euro business, and we are leading all the transformation to cloud and also, all what is related to hybrid cloud transformation. Also with security. We are number two in the world in terms of security and cybersecurity. We have developed for so long lasting relationship with AWS. We have been an advanced technology partner of AWS for now many years, since 2013. And we have developed a specific program, you know, regarding manufacturing transformation and mega trends. So this is why we are super excited to be here with you Justin today, thank you, by the way having Ingram Micro with us, Justin. >> I appreciate it, it's good talking to you. Good to be here. >> And I'm Justin Hooper, I work for a Ingram Micro. I run their Global Infrastructure and IT operations. Ingram Micro is one of the world's largest technology suppliers, technology solutions, and cloud platform and services. >> Well, great for the intro. Thanks for that set up, a lot of action going on. You guys have recently purchased, you guys got the transformation in the cloud. What is the movement to the cloud? Take us through the current situation. >> Yeah, we see, a big acceleration and especially due to COVID situation. We have seen acceleration of transformation to cloud. There is a lot to do, a lot to do because many business critical application, which have not been transformed. And also, especially all the applications which are sitting on top of mainframe that is why executive discussion we are with Ingram at the moment is how we can help Ingram with some of the applications that are on mainframe to transform and design the future. >> Justin, take us through the transformation that they're helping you with, what's the key challenge? What problem are they solving? Take us through the specifics. >> Yeah, it's interesting because I'm actually a lover of the mainframe, I think most of the people at AWS would think, the mainframes, didn`t they put the rockets on the moon. That's old technology, but mainframes are still fantastic platforms. We, have great success, great resiliency with Atos . We are on the most modern chips, but there are a lot of restrictions. You know, you really have to size your mainframe for your peak workloads. You don't have the ability to separate segments, scale horizontally, and then there are really nuanced. Like it's hard to get resources that know mainframes, to be honest with you, it is just, there's a people issue there industry-wide, and we're not different than any other company and compete for resources, both on the system side and on the programming side. And we really want to look at how we can make a massive leave, if we're going to leave the mainframe, how do we start a journey where we can end up really being able to take advantage of horizontal scalability, the ability to have a utility compute model where we're really paying as we go, because that is the opposite how the mainframe model works today. >> Talk about the refactor 'cause I know I've covered a lot of mainframe stuff with IBM in the past and how banks are still using it. Everyone is they're real applications. They're mission critical. How are they integrating into the digital transformation. Containers, kubernetes are hot right now. You're starting to see a lot more integration. How do your customers and how do you guys see refactoring happening? I can see the integration, but that as the refactoring come in. >> There's really what we've learned with our partnership is there are really a couple of ways to do the refactoring. You can convert your old Cobalt code to something else like Java. And there are tools and companies out there that do that. Or you can really build a plan where you can effectively emulate your mainframe on commodity computing and through a relatively deep analysis with Atos, the recommendation that we're looking at is that ability to first get off of the hardware, get off of that reliance on the platform, but not jump all the way to modify your code to Java. There's not a lot of value in going from Cobalt to Java, for example, if you're not making improvements in your programs, adding business capabilities. So the journey starts with get off the hardware, but then it allows you to go and say, we are going to break up those complex programs. We are going to separate the data differently. And once you do that, you can start to take advantage of containers and start to separate yourself even more and really get into the cloud. But, there are ways to piece your way through that. >> You know that's really good insight, JP, I'd love to get your reaction on this too, because what Justin's getting at is what we hear a lot from experienced CIOs of large companies that have a lot of existing stuff. And the theme is and the word they use is you don't want to touch the white hot core. Meaning it's so mission critical that if you mangle it too hard, touch it too hard a lot of bad things happen. So this idea of push things out to the cloud that around the edges, and then work your way slowly in is a risk management and practical approach. >> Not exactly, you said it right, its exactly a risk management So, and Justin explain it different factors, which come to the end point in terms of decision there is one issue regarding competencies, because their lack of competency in the markets. There is what kind of business critical apps you have. There is a transformation as such, you know, as Justin explain you can record, or you can move, you know, to a different platform. So, each time it's a program, it's a program and analysis that we do with our customer advising the customer about, hey, based on your critical application, what is the right journey, what is the right transformation to do the right risk management? >> Justin you're taking the hot core I saw you nodding your head. You're like, yeah, what's your take on that? >> Well, yeah, I agree with you. And that fear, uncertainty and doubt it's kept people on the mainframe for a really long time. The technology has caught up and the expertise where just as JP said, you've got to be really careful in the way you plan it, and you've got to make sure that you can always get back. And so the approach that we're looking at taking is, you're able to accommodate more risk if there's an easy roll back plan, and some of the new new technologies and processes are going to allow that, so, you know, if I screw this up, I get to go find a job someplace else. So I'm aware of the white hot core, but I am confident it can be done. >> Yeah, and then technology, if you don't have to kill the old to bring in the new, you can do both, and I like your approach. I think that's a success path that people are talking about it's well documented. But at the end of the day, we're back in distributed computing, I mean, I want to get this at the end, but I want to give you guys some time to think about it. As cloud becomes everywhere as Adam Selipsky talks about, it's not just about mainframes, this it's a distributed computing paradigm. So we're going to come back to that, but let's get into the SAP Redshift `cause I think that's something that you guys are working on I think that's worth calling out here. Analytics is huge, tell us what's going on there, how you guys are working together on that. >> Yeah, so we have designed a high level of competency around SAP, and especially the migration and the SAP Redshift. So we have designed this program also with AWS and is something we are discussing at the moment also with Ingram. So we see an acceleration of this trajectory. It has been also highly pushed by SAP as well. And also we are one of the strongest partner of SAP and we see many many customers engage into this transformation at the moment. >> The cloud really gives you a lot of advantages when you're doing migration, especially around a pre-existing software, like SAP was pretty big, complex mission critical So you can throw compute at it, a lot of cool capabilities. >> Yeah, that's true, but you need, you still need to configure a lot of things as well, because it's, you need to customize and you have to really fine tune, you know, what is it, what is going to be available to the customer needs and to what you need in your company as well. >> Okay, lets get back to what Justin was saying about emulation, I mean, I can run SAP (laughs) on Amazon. I mean, we've talked about it, I wrote a story about this prior to the event called Superclouds. You can build these super applications that combine things that you never would have thought was possible. SAP running on Amazon or Ford can come to Redshift when you need it, so you have a lot more flexibility. This is now the new normal. >> Correct. >> Correct. Or Justin maybe you want also to comment on that, you know? >> You know, the great thing about being on Redshift is we pick that as a platform for our data warehouse a number of years ago, and there were basically analytics capabilities, but what we're seeing a lot here at re:Invent is as Amazon is catching up with their out of the box ML and AI capabilities in Redshift. So it feels good that we pick the platform that they're growing the capabilities in right, as we're advancing out of more of the traditional analytics and trying to go to that machine learning. And one of the things that we work at the Atos on is migrating off of SAPBW and saying, maybe we don't need that as a data and reporting platform, if we're solid with Redshift and we certainly don't need both. So we're working with them to look at the case to move all the way to Redshift, and then we can run our analytics and build the ML in that. >> And you know, that was a big theme in the keynote. This purpose-built capabilities, it's almost like having, you know, if you're building a building, you got iron steel girders made for you. You got this now better value in the platform to build on. This brings up the notion of distributed computing. >> JP: Yeah. >> In a way there's the same game, different generation. I mean, isn't it? You've got to integrate this still transformations inflection points, this is current. I feel like this now more than ever is a time where you can actually roll it all together with a little help from your friends or if Amazon's got somebody, you know, who want to reinvent the wheel. What's your reaction to that? 'Cause we've seen the movie before, when it's hard. Now, it seems easier, maybe its not. >> Yeah, we see three layers co-existing in more more. We see that, see application on data will be spread over three dimensions there will be edge computing there will be private cloud and there will be public cloud. And we see more more pressure in the direction that many customers are saying, hey, where should I put my data? This spot will go on and be processed at the edge, this spot will be process in the public cloud. There is also one of the capability where we in Atos we are able to advise customers about what is the best way to process your data if you have a lot of latency, you can process at the edge. You know, there's less equipment, you can process the public cloud. So, we see this coexistence of model. >> Justin what's your take on this distributed computing throwback concept, because look at the rise of companies like Snowflake. Where'd they come from? They're on Amazon, they pick the cloud. Now they're on going to other clouds. You can build a supercloud. You can actually build this out now faster. What's your take? >> Yeah, I, my take is that it's a pendulum and it swings back and forth, and like you said, there was client server and then everything was web-based. And a lot of things look a lot like the mainframe, put everything in the cloud and then attached to it. And then all of a sudden, you know what? We need edge computing, pull some stuff back out of the cloud and put it where we need it. So, it's going to continue to evolve. What I have noticed that I like more is, the major home one swings and statements like I want to get out of the data center business and go to the cloud, I hear those less. And people are realizing there's there's hybrid. There's purpose build computing like you said, and we need to make sure that we're putting our data where it needs to be, putting our compute where it needs to be. And that's going to change on our customer base and evolving technologies 5G is changing the whole world around edge computing. So I'm enjoying the ride, I'm glad I'm in technology because I get to move with the ebbs and flows, but I don't think we're ever going to land. I think it's going to keep moving. >> Yeah that's a totally fair point where it's fun as a technologist, but you're right. If you're operating with cloud, it doesn't matter if you're on premises or edge or public cloud, it's the same thing (laughs). >> Justin: Yeah. >> It's just pick your, pick, your use case. >> Justin: Right, your use case- >> I want a low latency at the edge. I'm not going to move my data, send it to cloud. Of course, we're going to leave it there. >> Yeah. >> If you're on premise before- >> We've already move workloads back and forth. And a lot of companies are doing that too, you know? >> I think that's what they're getting at when they talk about cloud everywhere. I think that's their way of saying, okay, hybrid is real. They won't ever say multicloud though. (all laughing) Not yet. (all laughing) >> Won't hear that here. >> All right, quick summary. What do you guys do? And what's the future hold for the relationship. You guys got a good thing going on? Take us through what's the future look like. >> Yeah, for me it's a big thank you for the partnership with Ingram. So we are extremely excited by what we can do for you. And in terms of advising your transformation and, you know, I hope that you get the right service and the right advice, you know, from Atos. >> Yeah, it's been great. We, we've appreciated. We've been, we started as a mainframe customer and now they're helping to advise on how we could get off the mainframe. I mean really cannibalizing one of the other areas there in the spirit of evolving and partnership, and you guys are bringing a ton of expertise and the way you guys attack the account and we centralized through our account team is very helpful. You're very aware of what's going on on all sides of the business. >> Well, congratulations. >> That's a big part of the theme, the keynote today on, on ad about mainframe transmission. But at the end of the day, it's about modern infrastructure, modern application development. >> Justin: Absolutely. >> Getting out, having set the table for the next generation. >> JP: Yeah. >> Thanks for coming on theCUBE and you guys want to get a quick plug in real quick for the company talk about Atos and Ingram. Give a quick plug for what you guys are working on. >> Sorry- >> Give a quick plug about what you`re working on. Give a quick commercial one minute about the company. >> One minute. >> Yeah. >> At Atos we're really transforming or leading the industry in terms of secured transformation to cloud security will be more and more important as data is everything about where is the value. So we are really making sure that our customers, they get to maximize, they can maximize the value around data transformation to cloud in a secured way. >> Justin, JP, thanks for coming on theCUBE. Really appreciate the insights. Don't touch the hot core and make, take your time. Have a good time, you're watching theCUBE, the official broadcasting of AWS re:Invent leader in tech coverage, theCUBE. Thanks for watching. (upbeat music)

(tubular bells chiming) >> Welcome back to theCUBE's coverage, AWS re:Invent 2021. I'm John Furrier your host of theCUBE. We're here, get all the action wall-to-wall coverage. The keynotes with the new CEO, Adam Leschi just happened. A lot of action wall-to-wall coverage for days, and we'd love cloud computing because it impacts business. We love all that, but when it impact sports, we love it even more because it can relate to it. You can see the two great guests here from the NHL Formula 1. We got David Lehanski the EVP of business development and innovation at the NHL, Rob Smedley, director of data systems at Formula 1. Gentlemen, thanks for joining me today in theCUBE. >> Thanks for having us. >> So obviously formula one we know is very data driven. Pun intended, NHL has a lot of action going on as well with innovation streaming, et cetera. Let's get into it. You're both Amazon customers, right? We'll start with you. Formula 1, big partnership with AWS. What's that about? how you guys look at this cloud as you guys go to the next level? Cause you're under a lot of pressure with the data, from the cars and standards and all that good stuff. What's up. >> What's going on? >> Well, I mean, you know, it started probably four or five years ago with the acquisition of Liberty media and formula 1, and there was a real drive towards data. There was a real drive towards, you know, unearthing all of the data that we've got, you know, formula 1, arguably probably generates the most data, this most sports data of any sport on the planet. You know, we have car telemetry data, timing data, metadata, image data, you know, we own all the video data, and the audio data of driver radio, tire data, weather data, you put all that together. You got to, you know, a real massive data. And it was just about trying to unearth that and, and engage the fans more. And that's where the partnership with AWS come from. >> And the competitiveness in formula one I know is really high. You got a lot of smart people on these teams looking for an edge. And I know it's like, it's a whole new world with data as things get exposed. So I got to ask you, what is your job? Are you there to like to corral the data that kind of set standards? What's your role? >> Well, my role is essentially, to use the data at central league level, if you want, for all the franchises, that's all 20 drivers, within the 10 teams to try to, you know, use that data in whatever way possible, whether it's the new car or whether it's the F1 insights powered by AWS to try to engage the fans more. You know, we've understood that data, is really important to tell the story of Formula 1. And it's really important to reach different demographics as well. The younger demographics, the young, the gen Zedders is, you know, those types of guys, it's really important to get to them, because you can condense and at one hour 45 race down to five minutes, right. Which is what they want. So this has been a really important step for us. And a really important part of that journey has been the enablement. >> And I can see the whole e-sports thing I could see after a race. Okay. Now the fans race amongst themselves, as the technology simulation gets better, only headroom there. So to speak. >> Yeah, yeah, absolutely. I mean, that's what we're, you know, that's probably the next generation of what we want to do with the data is we want to make it much more interactive. We're already giving, you know, through the insights and through, you know, the way that, we're trying to tell stories with the different data assets we're already trying to do that, in a much more proactive way of telling the story. The next level of that. is completely immersive, is interactive. And that's what we call the 21st drivers. So there's 20, formula 1 drivers. Right. But, we want to build systems using the data and gamification where you can embed yourself and immerse yourself in that, in the races, the 21st driver and race against the other guys on a Sunday afternoon. >> Awesome. Dave, let's get to the NHL National Hockey League. You guys are doing a lot of good stuff. You're the EVP of innovation and what's going on over there. How do you see the cloud helping you guys innovate. what's on your agenda and what's your role? >> Wow. I don't know if we have enough time, but at the highest level, you know, we're trying to expand and enhance the way we produce and present our game to the world. You know, our sport, we have some similarities, but there's a lot of differences based on the uniqueness of the sport. Statistics, hadn't really been a big part of the National Hockey League in the way people consume the game. I always say, you know, goaltenders have two statistics that have been used to evaluate them. And they were the same ones that were used to evaluate them back in 1917. So almost again a hundred years where it hasn't really evolved that much, but we think there's so much there that can really enrich and transform the game. So we're trying to partner with AWS and the best technology companies in the world to figure out how we can start to capture that data and turn it into meaningful content and experiences that allow fans to go a little bit deeper and a little bit broader. >> Yeah, I can see the data being used for also seeing what the NFL is doing a lot with the safety. Hits are getting harder and faster in the NHL. I mean, the collisions, the equipment, everyone is going faster. That's a big safety issue too. Isn't it? >> There is a safety component too. And it, look, that is one of the unique things about our sports. Both of us are speed involved. The speed though, for us, it's not just on the ice, it's also the pace of play, right? So when you have a stoppage, it's typically 10 or 15 seconds long. So there's not a lot of time to integrate data, to tell stories, to build and graphics and visualizations. So the first phase for us was to build the tracking system that could capture the positional, the positions of the puck and the players throughout the course of every game. And that's generating a massive amount of new data. Now we're trying to add video to that data so we could start to use it to create entirely new experiences. >> What are you guys thinking about from a fan experience as you look at the analytics. Are they interested in more like the, where the puck is, how fast people are going, what are some of the analytics sharing? >> So it depends, Right? So from a fan standpoint, you know, avid fans really want to, they want to go deep and they want understand controlled zone entries and like, you know, things that are really inherent to, you know, the core factors for determining outcome. Casual fans, they like just on knowing speed, right? How fast is the puck moving? How fast are the players moving. Before we had the system, we weren't able to produce it. Before we had AWS, you won't be able to produce that in real time and overlay it onto a game. So we could go even deeper when it comes to players and coaches and media partners, but the ability to build a solution that works in real time to give them the data and the video that they can use to tell those stories is born from AWS. >> And that brings up a great point. I'd love to ask both of you, if you can answer this question about the fan expectations. One of the big trends coming out of this re-invent this year as cloud is creating more capabilities, but the users and the consumers have new expectations. They want it on mobile, they want the highlights, they want everything. They want the data, there are data junkies. They want everything, cause they're immersing, into the experience with multiple touchpoints. TV, app. Whatever. >> I think that's right. And I think that it's up to, you know, as David's just saying that the two sports here with a lot of similarities and you can see that we're both on the same journey and that's because it's been driven in the end by the consumers, it's been driven by our customers. And, I think that now we're on, you know, what I would call the data flywheel, where there's a lot of inertia and it's just getting stronger and stronger and stronger. And this was, if we go back say three, four years when we started the partnership with AWS and we started to get really deep into the data and understand, you know, what the objectives of this whole exercise were, we always knew that there'd be a point where it started to build a lot of momentum and have a lot of inertia and that's, what's happening now. There's a real thirst for it, right? And it's not just, you know, even the naysayers, you know, even the people that kind of looked at it and went, well, why are you filling my screen with data exactly the same as what Dave says, you know, since you know, the goaltender since 1917, you've used the same two stats to evaluate that particular player. In formula 1 it's been exactly the same. So we started to introduce stuff which had been the same state as core for 70 years. And they say, well, what's all this about. Now, those people can't live without that. Right? It's become, a key part of the broadcast. >> And it creates new products, like things like Netflix, who would've thought a series would be on Formula 1, a soap opera for formula 1 in behind the scenes, driving to survive has been quite an acceleration for fan base. I mean, techies in Silicon valley and all around the world have told us like, hey, you know what? That exposes the nerdiness of Formula 1. Kind of cool. So who would have thought, I mean, there's going to be shows on this whole other level. >> I think, another point to add it is about increasing your distribution points and getting your content out to as many people as possible through as many platforms as possible. But I think in addition to that, it's really about, Rob started to touch on this personalization and customization. What can you do within those platforms to give fans the ability to sort of create their own experience? Right? So data highlights, huge, huge, huge level of importance. >> I think community is going to be a big part of this too. As you start to see the data creates more interactions and more progression, if you will. Community, I'm a Bruins fan in California. There's not a lot of Bruins fans, mostly sharks fans, but I got to get online. Where am I? Where's my tribe. I want to hang, that's not just on Twitter. >> Yeah >> So there's a whole another level coming. How do you guys see community developing in your sports? >> I think the community is the biggest factor in all of this. Right? And it's kind of bringing together. It's a global sports community, first and foremost, but then you've got these pockets. So you've got NHL, NFL, you've got formula 1 and they're all gaining popularity, but it's all through really everybody being on this same journey. Everybody's on this same journey of involving tech in the sport of revolutionizing their particular sport. And it's building this global community. I mean, In formula 1, we've got a billion fans worldwide, but that's growing, it's growing every single year, but it's only growing because we're starting now to get to that younger demographic, formerly one could never get to the demographic, you know, formula 1 fans looked like us, but now it's starting to really improve our system. >> The virtualization of this hybrid world we're living in opens up the doors for more access. >> Absolutely. Yeah. And I think that's the key point here. And again, they've touched on it. It's the personalization. It's using data and platforms and packages to personalize somebody's engagement with their particular sport. >> I got a couple of questions from the fan base, I knew you guys were coming on. I want to get to you , first, Rob, how has F1 been using Amazon and the cloud to develop the new 2022 race car? >> Well, I mean, it, I would say it's no exaggeration to say Amazon technology enabled, was the key enabler in as being able to design that 2022 car, you know, we designed it in a virtual environment called computational fluid dynamics. You know, the simulations, when we were first running design iterations, were taking something like 40 hours with when we started running it on the EC2, you know, spinning up 7,000 calls, something like that. We got that down to seven hours, manageable. We designed the whole new car. >> Awesome. On the NHL, the question here for you, is that okay, how is the young generation coming into the game? What's changed with the innovation that's impacting, how the games played and how the young guns are coming up? Is there any in technology enabling that? >> Sure. You know, so we're looking at the type of content that younger fans are gravitating to, obviously highlights and dance games, but we talked about it before the ability to see what they want to see with regard to that. So, you know, where we're trying to get to is where you could watch a game and ultimately decide whether or not you want to turn on a right rail of real-time statistics for your favorite player, for your favorite team, for a specific event, whether or not you want to turn on the ability to network with your friends across social platforms, whether or not you want to turn on the betting functionality, whether or not you want to turn on the game functionality. Right? So this is how the younger generation really wants to consume the data, like sort of, they want to see what they want to see, when and how they want to see it. So we're working on that. And then there's everything that goes beyond that. The world of NFTs and VR and AR and alternate forms of content distribution, none of that would be capable or available if not for the ability to capture process and distribute data and video in an aggregate in real time. >> You know, I really think we're onto something so new here. And if you guys are really kind of illustrating the whole point of how being in person, the old model of physical, I don't have to go into arena to watch hockey or go watch formula 1, and hopefully it's on TV. Maybe it's got coverage here and there, but now with hybrid, you can integrate the experiences from the physical in-person where the asset is. >> Absolutely. >> And to virtual and just open up completely new hybrid use cases. I mean, this is brand new. There's no standards. >> Not, exactly. And that's something that we're really starting to look at, which is the event of the future. You know? So how would you bring, how do you mismatch? How would you bring that whole data experience and that whole broadcast experience to the actual event, the live event, and how would you bring the live event to somebody's front room? It's the hybrid model, right? And this is definitely next generation of how we're using the data. We're working with AWS. We're calling it event of the future. It's really, really exciting. I mean, you can imagine going there, to a formula 1 race, you're sat in the stands. You're no longer, you know, watching a car pass every few seconds and wondering what's going on. You've now got AR, VR that you can kind of put up and lay-up across what's going on the track. >> Well, a lot of people would love to get you guys' reaction to this comment online. Cause this is big, I see a lot of naysayers out there because they're so locked into the business model of the physical location. There's a lot of investment in events like this, wants me to buy tickets and show up. So they call it a one-way door here in the industry, they don't want to go through that one way door, but I'm saying that door has already been passed. It's like you're in this hybrid world is here. If you don't get out in front of it, you're going to be toast. So the question is, how do you guys think about this when you talk about the business model of experience? Cause you have to get in there and it's not super great right now on virtual. It could be better. It has to get better. So it's a balance. How do you guys talk about that in your respective fields to educate the potential? I won't say naysayers, but yeah. >> Yeah no, no, no. So we believe it wholeheartedly. You know, when you think about the inner arena experience, there's a lot of infrastructure that needs to be in place to be able to deliver those types of experiences to fans, while they're in the building, we wholeheartedly believe that the people who are paying the most to see our games should get the best possible experience. So there should be no replay, they don't get, there should be no game that they can't access, no application that they couldn't have on their phone, but you need to have, you know, fairly advanced wireless in the arena infrastructures in place. You need to have a lot of cloud infrastructure and services there. So, you know, that's why we're leveraging Kinesis and SageMaker and AWS elemental services to get all of it condensed, operating in the cloud and distributed. So if you're a fan at a game, they're 18,000 other people, like you trying to access a mobile phone to place a bet on a real-time event that just happened, you can actually do it, but a lot needs to go into that. >> Yeah, that's really good insight because what you're pointing out is is that the physical location is the first party asset. That's the key. You build on that, invest in that and then feed it out into the next world and then figure that out. Do you agree with that. >> Absolutely. 100 percent correct. Well, 100 percent agree with everything that David just said. And we've got probably, you know, an even bigger challenge because we've got these 20 sites where we lift and shift 20, 23 races, you know, all round the world where we lift and shift every couple of weeks, and they're not arenas either. They're, you know, these are huge sites. These are you know, five, six kilometer by five, six kilometer square sites. So trying to do everything that David just said in that space, we can open it. >> Yeah, we just turn the lights off, it's over, he's got to pack it all up. >> The private 5G is going to totally help. You can run drones and have full blanket coverage over the location. That's good. That's good stuff. Final question for you guys on data, because I think this is something that we've been kind of talking about on theCUBE over the past year, we see open source software has become a huge success. Do you guys see opening up the data to your fan base and seeing e-sports races in formula 1, is just going crazy. Everyone loves it. It's not there yet but the equipment having your own car in your living room, but it's close, pretty close, it's there. Opening up the data, how do you see that potential? Because there are people who want to maybe code on top of it. How do you guys view that? >> Well, I think it, has to, I mean, Dave, again, touched on this earlier when he talked about, you know, the difference between the casual and the avid. The avid, you'll never, ever satisfy the average thirst for data, right. They want to do what I did and sit on a pit wall and manage a grand Prix team. And that's great, you know, it shouldn't just be for a privilege, you know, 10, 20 people in the world to do that. We should be able to give everybody that experience because we have the technology and the ability and the know how to be able to do that. And that's where, you know, again, partnership with AWS, where we're talking about something called the virtual pit wall. So, you know, the pit stands where it's kind of like the mission control. We want to be able to bring that to the average. And it's just getting deeper and deeper layers where you can set up your bespoke environment. You can set it up just as if you were a race engineer or a team strategist, one of those guys, and you can just get deeper and deeper. And then you start to lay over that. You start to build your own models. We bring in simulation into that whole area. And, you know, it's exactly the same as what you have in the teams. You just go deeper and deeper and deeper. >> What's it like to be on the pit wall there, managing teams. what's it. (men laughing) >> Hmm scary sometimes >> Nerve wrecking. >> Nerve-wracking, I mean, I talked about, you know, the gen Zedders who want the, you know, a two hour race to pass in five minutes, it passes in five minutes. Cause there's so much going on. You know, it's kind of like being the coach or the, you know, the football manager, you know, you're under a lot of pressure. You've got to make the right decisions. You've got to, you know, you've got to make decisions in split seconds. Everybody's an expert 10 seconds after the decision has been made. It's that type of thing, but it's great fun, you know. >> I can see virtual Formula 1 being a hot total hit because with all the data and now autonomous vehicles, you can almost have a collective kind of team approach, like swapping out AI in the cars in real time from the virtual pit. >> Yeah. And again, you know, I'm just going to name check deep racer because you know, AWS deep racer, you know, we formula 1, and AWS deep racer. We did an activation about a year back in the first lockdown, in the first COVID lockdown. So we took a couple of formula 1 drivers, Daniel Ricardo being one of them. And then we built out this deep racer platform and we're trying to look at how we can bring that more, you know, more together. So you've got this virtual, sorry, this AI car, this autonomous car, and you've got formula 1. And how do we merge those two worlds together? And again, that's just trying to immerse people more in the experience. >> Alright, final question. What's the coolest thing you got going on in each of your respective innovation fields with AWS? What would you highlight your favorite innovation or coolest thing you're doing? >> Well, I can't tell you about the coolest, right. That's for sure. Look, I just think what we're doing with AWS with regard to AIML around data and statistics analytics, based on what I said earlier, the evolution of statistics and analytics and hockey really hasn't taken hold, we're there now. The ability to really take a game that's has so much volatility, and we're the only professional teams sport that has personnel changes occurring in life play. So you never really know who's on the ice and the ability now to deliver real-time graphics and visualizations in the broadcast based on movements that had just played within milliseconds. And, we're starting to do that today with shot and save analytics with AWS. So where that can go in the future is really, what's probably the most exciting because it'll totally transform the way fans consumer our game. >> The NHS has always been on the cutting edge on the tech. Been following you guys for years, congratulations. Rob, the coolest thing you're working on, from Amazon, that's cool, and in formula 1 that's in your plate right now. >> Do you know what, I mean, there's so much going on at the minute. It's really difficult to choose any one thing. I think the whole partnership it's everything that we wanted it to be that, you know, the whole way that we're moving data forward and where we're revolutionizing this sport in a lot of ways, you know, sport has sat still for a long time. And to go through that digital transformation, you know, with Amazon and you know, in all the various areas that we're working on, I just think it's all, you know, it's all really, really cool. I mean, it's just moving forward at such a pace. Now. >> If you don't mind me asking why I got you here on the whole data thing, I'm just thinking about if I was on a team, I'd be like, okay, there's a whole new wild west. It's this arbitrage of data, we'll get over on the other team. Do you have to watch out, do you guys talk about like watching teams actually, I mean, it's actually innovative that they can get an edge, but an unfair advantage if they actually had used the data, is there like discussion around, like who can use the data, which teams? >> Of course. I mean, you know, when you get down to the franchises, each team can only use its individual data. You know, that's where we have key insight up at the league level because we've got, you know, a subset of all of the teams data. So we can kind of see everything that's going on. >> And watch out for the hackers coming in and get that data. >> Oh, well, alright, we've got pretty good security. >> Guys, thanks for coming on. I love the sports angle on this. It's really awesome. I think this is a great example of how cloud and digital lifestyle is coming together. The tech integration with the fan experience and the business models are super compelling, and I think that's illustration to just every other business. Thanks for coming on theCUBE. Appreciate it. >> Awesome. >> Thank you. >> Okay so theCUBE's coverage here at AWS re:Invent. I'm John furrier, your host in theCUBE. You're watching the leader in event tech covers theCUBE. Thanks for watching. (soul music)

>>text, you know, consumer opens up their iphone and says, oh my gosh, I love the technology behind my eyes. What's it been like being on the shark tank? You know, filming is fun, hang out, just fun and it's fun to be a celebrity at first your head gets really big and you get a good tables at restaurants who says texas has got a little possess more skin in the game today in charge of his destiny robert Hirschbeck, No stars. Here is CUBA alumni. Yeah, okay. >>Hi. I'm john Ferry, the co founder of silicon angle Media and co host of the cube. I've been in the tech business since I was 19 1st programming on many computers in a large enterprise and then worked at IBM and Hewlett Packard total of nine years in the enterprise brian's jobs from programming, Training, consulting and ultimately as an executive salesperson and then started my first company with 1997 and moved to Silicon Valley in 1999. I've been here ever since. I've always loved technology and I love covering you know, emerging technology as trained as a software developer and love business and I love the impact of software and technology to business to me creating technology that starts the company and creates value and jobs is probably the most rewarding things I've ever been involved in. And I bring that energy to the queue because the Cubans were all the ideas are and what the experts are, where the people are and I think what's most exciting about the cube is that we get to talk to people who are making things happen, entrepreneur ceo of companies, venture capitalists, people who are really on a day in and day out basis, building great companies and the technology business is just not a lot of real time live tv coverage and, and the cube is a non linear tv operation. We do everything that the T. V guys on cable don't do. We do longer interviews. We asked tougher questions, we ask sometimes some light questions. We talked about the person and what they feel about. It's not prompted and scripted. It's a conversation authentic And for shows that have the Cube coverage and makes the show buzz. That creates excitement. More importantly, it creates great content, great digital assets that can be shared instantaneously to the world. Over 31 million people have viewed the cube and that is the result. Great content, great conversations and I'm so proud to be part of you with great team. Hi, I'm john ferrier. Thanks for watching the cube. >>Hello and welcome to the cube. We are here live on the ground in the expo floor of a live event. The AWS public sector summit. I'm john for your host of the cube. We're here for the next two days. Wall to wall coverage. I'm here with Sandy carter to kick off the event. Vice president partner as partners on AWS public sector. Great to see you Sandy, >>so great to see you john live and in person, right? >>I'm excited. I'm jumping out of my chair because I did a, I did a twitter periscope yesterday and said a live event and all the comments are, oh my God, an expo floor a real events. Congratulations. >>True. Yeah. We're so excited yesterday. We had our partner day and we sold out the event. It was rock them and pack them and we had to turn people away. So what a great experience. Right, >>Well, I'm excited. People are actually happy. We tried, we tried covering mobile world congress in Barcelona. Still, people were there, people felt good here at same vibe. People are excited to be in person. You get all your partners here. You guys have had had an amazing year. Congratulations. We did a couple awards show with you guys. But I think the big story is the amazon services for the partners. Public sector has been a real game changer. I mean we talked about it before, but again, it continues to happen. What's the update? >>Yeah, well we had, so there's lots of announcements. So let me start out with some really cool growth things because I know you're a big growth guy. So we announced here at the conference yesterday that our government competency program for partners is now the number one industry in AWS for are the competency. That's a huge deal. Government is growing so fast. We saw that during the pandemic, everybody was moving to the cloud and it's just affirmation with the government competency now taking that number one position across AWS. So not across public sector across AWS and then one of our fastest growing areas as well as health care. So we now have an A. T. O. Authority to operate for HIPPA and Hi trust and that's now our fastest growing area with 85% growth. So I love that new news about the growth that we're seeing in public sector and all the energy that's going into the cloud and beyond. >>You know, one of the things that we talked about before and another Cuban of you. But I want to get your reaction now current state of the art now in the moment the pandemic has highlighted the antiquated outdated systems and highlighted help inadequate. They are cloud. You guys have done an amazing job to stand up value quickly now we're in a hybrid world. So you've got hybrid automation ai driving a complete change and it's happening pretty quick. What's the new things that you guys are seeing that's emerging? Obviously a steady state of more growth. But what's the big success programs that you're seeing right now? >>Well, there's a few new programs that we're seeing that have really taken off. So one is called proserve ready. We announced yesterday that it's now G. A. And the U. S. And a media and why that's so important is that our proserve team a lot of times when they're doing contracts, they run out of resources and so they need to tap on the shoulder some partners to come and help them. And the customers told us that they wanted them to be pro served ready so to have that badge of honor if you would that they're using the same template, the same best practices that we use as well. And so we're seeing that as a big value creator for our partners, but also for our customers because now those partners are being trained by us and really helping to be mentored on the job training as they go. Very powerful program. >>Well, one of the things that really impressed by and I've talked to some of your MSP partners on the floor here as they walk by, they see the cube, they're all doing well. They're all happy. They got a spring in their step. And the thing is that this public private partnerships is a real trend we've been talking about for a while. More people in the public sector saying, hey, I want I need a commercial relationship, not the old school, you know, we're public. We have all these rules. There's more collaboration. Can you share your thoughts on how you see that evolving? Because now the partners in the public sector are partnering closer than ever before. >>Yeah, it's really um, I think it's really fascinating because a lot of our new partners are actually commercial partners that are now choosing to add a public sector practice with them. And I think a lot of that is because of these public and private partnerships. So let me give you an example space. So we were at the space symposium our first time ever for a W. S at the space symposium and what we found was there were partners, they're like orbital insight who's bringing data from satellites, There are public sector partner, but that data is being used for insurance companies being used for agriculture being used to impact environment. So I think a lot of those public private partnerships are strengthening as we go through Covid or have like getting alec of it. And we do see a lot of push in that area. >>Talk about health care because health care is again changing radically. We talked to customers all the time. They're like, they have a lot of legacy systems but they can't just throw them away. So cloud native aligns well with health care. >>It does. And in fact, you know, if you think about health care, most health care, they don't build solutions themselves, they depend on partners to build them. So they do the customer doesn't buy and the partner does the build. So it's a great and exciting area for our partners. We just launched a new program called the mission accelerator program. It's in beta and that program is really fascinating because our healthcare partners, our government partners and more now can use these accelerators that maybe isolate a common area like um digital analytics for health care and they can reuse those. So it's pretty, I think it's really exciting today as we think about the potential health care and beyond. >>You know, one of the challenge that I always thought you had that you guys do a good job on, I'd love to get your reaction to now is there's more and more people who want to partner with you than ever before. And sometimes it hasn't always been easy in the old days like to get fed ramp certified or even deal with public sector. If you were a commercial vendor, you guys have done a lot with accelerating certifications. Where are you on that spectrum now, what's next? What's the next wave of partner onboarding or what's the partner trends around the opportunities in public sector? >>Well, one of the new things that we announced, we have tested out in the U. S. You know, that's the amazon way, right, Andy's way, you tested your experiment. If it works, you roll it out, we have a concierge program now to help a lot of those new partners get inundated into public sector. And so it's basically, I'm gonna hold your hand just like at a hotel. I would go up and say, hey, can you direct me to the right restaurant or to the right museum, we do the same thing, we hand hold people through that process. Um, if you don't want to do that, we also have a new program called navigate which is built for brand new partners. And what that enables our partners to do is to kind of be guided through that process. So you are right. We have so many partners now who want to come and grow with us that it's really essential that we provide a great partner, experienced a how to on board. >>Yeah. And the A. P. M. Was the amazon partner network also has a lot of crossover. You see a lot a lot of that going on because the cloud, it's you can do both. >>Absolutely. And I think it's really, you know, we leverage all of the ap in programs that exist today. So for example, there was just a new program that was put out for a growth rebate and that was driven by the A. P. N. And we're leveraging and using that in public sector too. So there's a lot of prosecutes going on to make it easier for our partners to do business with us. >>So I have to ask you on a personal note, I know we've talked about before, your very comfortable the virtual now hybrid space. How's your team doing? How's the structure looks like, what are your goals, what are you excited about? >>Well, I think I have the greatest team ever. So of course I'm excited about our team and we are working in this new hybrid world. So it is a change for everybody uh the other day we had some people in the office and some people calling in virtually so how to manage that, right was really quite interesting. Our goals that we align our whole team around and we talked a little bit about this yesterday are around mission which are the solution areas migration, so getting everything to the cloud and then in the cloud, we talk about modernization, are you gonna use Ai Ml or I O T? And we actually just announced a new program around that to to help out IOT partners to really build and understand that data that's coming in from I O T I D C says that that idea that IOT data has increased by four times uh in the, during the covid period. So there's so many more partners who need help. >>There's a huge shift going on and you know, we always try to explain on the cube. Dave and I talked about a lot and it's re platform with the cloud, which is not just lift and shift you kind of move and then re platform then re factoring your business and there's a nuance there between re platform in which is great. Take advantage of cloud scale. But the re factoring allows for this unique advantage of these high level services. >>That's right >>and this is where people are winning. What's your reaction to that? >>Oh, I completely agree. I think this whole area of modernizing your application, like we have a lot of folks who are doing mainframe migrations and to your point if they just lift what they had in COBOL and they move it to a W S, there's really not a lot of value there, but when they rewrite the code, when they re factor the code, that's where we're seeing tremendous breakthrough momentum with our partner community, you know, Deloitte is one of our top partners with our mainframe migration. They have both our technology and our consulting um, mainframe migration competency there to one of the other things I think you would be interested in is in our session yesterday we just completed some research with r C T O s and we talked about the next mega trends that are coming around Web three dato. And I'm sure you've been hearing a lot about web www dot right? Yeah, >>0.04.0, it's all moving too fast. I mean it's moving >>fast. And so some of the things we talked to our partners about yesterday are like the metaverse that's coming. So you talked about health care yesterday electronic caregiver announced an entire application for virtual caregivers in the metaverse. We talked about Blockchain, you know, and the rise of Blockchain yesterday, we had a whole set of meetings, everybody was talking about Blockchain because now you've got El Salvador Panama Ukraine who have all adopted Bitcoin which is built on the Blockchain. So there are some really exciting things going on in technology and public sector. >>It's a societal shift and I think the confluence of tech user experience data, new, decentralized ways of changing society. You're in the middle of it. >>We are and our partners are in the middle of it and data data, data data, that's what I would say. Everybody is using data. You and I even talked about how you guys are using data. Data is really a hot topic and we we're really trying to help our partners figure out just how to migrate the data to the cloud but also to use that analytics and machine learning on it too. Well, >>thanks for sharing the data here on our opening segment. The insights we will be getting out of the Great Sandy. Great to see you got a couple more interviews with you. Thanks for coming on. I appreciate you And thanks for all your support. You guys are doing great. Your partners are happy you're on a great wave. Congratulations. Thank you, john appreciate more coverage from the queue here. Neither is public sector summit. We'll be right back. Mhm Yeah. >>Mhm. Mhm robert Herjavec. People obviously know you from shark tank

>>Mhm. >>The company Nutanix was founded as the world was coming out of the financial crisis in 2009 Cop Computing was still in its infancy but had shown the way for what was possible with automation and simplification of infrastructure provisioning and management at scale. Now what Nutanix did is it brought cloud concepts to data centers and created the market for hyper converged infrastructure, a software defined architecture that eliminated stovepipes in the heavy lifting Associated with traditional compute networking in storage management. Now in the first part of the next decade, Nutanix essentially set the standard for this new world, building a loyal customer base, reaching escape velocity and successfully going public in 2016. Fast forward to 2021 and much has changed. Cloud is no longer knew rather it's become a staple of the digital economy as we exit the isolation economy. The cloud is much different today. It's expanding to on prem and out to the edge. New connections are being made in hybrid and across cloud models and as such, connecting and managing infrastructure across these new clouds to create a facile experience for users irrespective of where the data lives. Has become a major priority for organizations. They don't want to waste time and money on making the plumbing work. But that's easier said than done as the market is evolving. So is Nutanix to meet these new customer challenges and opportunities and with me ahead of dot next the major event of the year for Nutanix customers is Monica Monica Kumar who is the senior vice president of marketing and cloud go to market for the company Monica always great to see you welcome back to the cube. >>Thank you so much. Dave I'm so happy to be here again. >>Okay, so you heard my little narrative upfront, what's your perspective on the cloud market and where your customers are in their journey? >>Well, as you said, Dave Cloud is a critical enabler for rapid growth for organizations now, it's no longer just uh you know, nice to have, it's become a must have for organizations to survive and thrive in this digital economy. Uh In fact I follow a lot of um surveys that are happening around cloud adoption and one of the key trends that's coming out is it's no longer just about I. T. Practitioners adopting cloud. In fact, 78% of C. X. O. S are looking to cloud to speed up transformation of the entire businesses. You know, 80% of business executives are looking to cloud to mitigate their risks of their companies and 87% of the executives view cloud as critical to achieving their corporate growth goals. So what we are now realizing is that hybrid multi cloud is becoming the preferred model Which means there is no one cloud that customers are using, they're using the right cloud for the right workload. In fact, according to Gartner Group, 81% of public cloud users are using more than two providers. So what's happening is increasingly businesses are relying on multiple public clouds and on premises to meet their needs and are looking for that flexibility and that's delivered by different cloud providers. Um We've done our own survey called Nutanix Enterprise cloud and that we do it every year and 86% of respondents in the last service said hybrid cloud is the ideal operating model. So the Net Net that we're hearing from our customers is cloud is not a destination, it's an operating model. Customers want the right cloud for the right workload and the right applications. >>Okay, awesome. So the world, great setup. Thank you. So the world is moving to multi cloud. I think there's not no debate on that and that is really the mainstream. That's the norm. Talk about where Nutanix fits into this new world. >>Absolutely. So we're at an inflection point as organizations are grappling with this complexity. Now, obviously you can imagine the more computing environments to use this complexity in running and managing those hybrid solutions across multiple clouds. When Nutanix is focused singularly on is making that cloud complexity invisible. So our customers can focus on their business outcomes. We are solving the complexity of running and managing multiple clouds, just like we did for infrastructure and data centers a decade ago when we first started as a company. Now with the Nutanix start platform enabling our customers to seamlessly connect their private and public clouds simply move applications, data licenses across any cloud, optimize the work replacement and costs all while leveraging a consistent set of services, tools and processes. So for us it's really, really crucial that we give customers the choice to pick the hardware. Of the choice, the cloud of their choice, the virtual machines, they want to deploy the containers and data and help them realize their entire hybrid multi cloud strategy. It's all about giving our customers that peace of mind to deploy and operate the apps and data across multiple clouds with ease and flexibility. >>All right, let's talk about dot next my I think I'm pretty sure my first dot next was the first one ever, which I think was 2015. It was pre I P O. The focus is obviously evolving what's the focus this year? >>Well, dot next has evolved to become the industry's leading hybrid multi cloud conference. It's almost here. It's taking place next week, september 28th, 23rd and this year's event will bring together it and cloud professionals from around the globe to explore the latest trends, solutions, best practices and hybrid, multi cloud technology. Now we're obviously gonna, you know, future a lot of thought leaders from within the industry as well as in general, you know, people that impact our lives in a positive manner. And we're going to really focus on topics around hybrid multi cloud hyper converged infrastructure, private cloud ABM organization, you know, kubernetes containers, how do you figure out which after deploy where? So you're gonna see a lot of focus on hybrid multi colored solutions this year we're going to have lots of real world stories, hands on labs, best practices for practitioners. And again as I said all the tools that attendees need to go back and then put to practice some of the hybrid multi cloud strategies that they would learn and dark next >>talk a little bit more Monica about the what's in it for me for for attendees, what can they expect? What are they going to be able to take away from from this conference? >>Well, so as I said, a conferences both for business leaders and I. T. Leaders and practitioners. So for the business leaders, as I said, they'll get to hear from the latest industry visionaries around where the world of cloud is moving to, what are the latest and greatest innovations and hybrid multi cloud technologies uh and how can they make the businesses more competitive? How can they, you know, create more business value for the organization by using these technologies. For the IOT practitioners, they will go away as I said, learning from their peers in how they are adopting cloud, what are some of the myths around cloud computing. Get some information on deployment details and the benefits some of the piers are realizing since they moved to new tenants for example, in general, since they've adopted, you know, hybrid multi cloud solutions, they will also be able to connect with their industry peers, access democrat pounds. Uh in fact one of the major uh spotlights and not next will be the test drive live uh practitioners can get hands on our technology and really test drive it during the event itself and learn how to create a hybrid cloud within an hour, learn how to deploy databases with a click of a button for example, so lots of great goodies there and oh by the way we have some amazing external speakers as well besides our own, you know engineers, executives and so on. We have a whole roster of third party speakers too. >>That's awesome. Now, you know, one of the other things too is one of the ways you were able to reach escape velocity as a company is you had a strong partner ecosystem I presume is going to be a partner network participating as well. >>Yes, absolutely, thank you for reminding me about that partnerships is very, very, very, very important in Nutanix. You know, it does take a village, we have a full day dedicated to our partners and partner technology and solutions. It's called the part exchange. It's on Monday September 20, so again we hope that you all will participate but also you'll see partners are embedded uh in our september 21st and 22nd agenda and programme as well which is the main two days of dot next. So partners are in our life and blood, they're part of our ecosystem. >>That's great. What's next for Nutanix as you head into 20, >>Well before I go there, I do want to focus on a couple more featured speakers. So for those of you who are interested in cybersecurity, we will have Theresa Patton, who is the first female white house C I O and a leading cybersecurity expert. She'll be speaking. I'm actually interviewing her as well. We have Rachel, so johnny who is the founder of Girls who code and marshall plan for moms. We have Gary Vaynerchuk who's the ceo of Winner Media who is an author and entrepreneur. So I do hope that folks will plan to join if not for the core hybrid, multi colored content but also for these amazing speakers and last but not least. Hey, if none of this excites you then we do have some amazing entertainment. We have john taylor of Duran, Duran and the electric fondue coke, Romeo also headlining our day to keynote. >>So fantastic. I love it. Okay, go ahead please. >>Well I was gonna say so now let me talk about So what's next? Well for us, what's next is really helping customers realize their full hybrid, multi cloud strategy and empower them to make the right cloud decisions. So in fact one of the things you're gonna see us launch next week is also a new brand campaign. It's called cloud on your terms and you'll see that all over plastered all over dot next and so on. We are fully invested in our customer success to help them build, run and operate anywhere to help them easily migrate to public cloud or stay on premises if they choose to. And ultimately to make cloud complexity invisible for our customers, >>you know uh cloud your way kind of thing. I love that. And I and I failed to mention one of the first conferences I went to next, I met some developers and I was like whoa, cool. Because you guys one of the first that really truly do infrastructure as a code and bring that on prem and now it's going across clouds. So September 20 you kick off the partner day, is that right? And then the big keynote start the 21st right >>And go through the 20 >>third. Yes, >>yes. And we have a lot of on demand content as well around the keynote. So it's gonna be a packed packed set of agenda and days and you can choose whatever content you want to attend and participate in. >>Excellent. You guys always put under great program so go there register, we'll see you there, Monica. Always a pleasure. Thanks so much. >>Thank you so much for having me. I really appreciate it. >>All right. And we'll see you at dot next. This is Dave Volonte for the cube. >>Mhm mm

>>Mhm >>Welcome to the cube where we're celebrating the EC 2/15 birthday anniversary. My name is Dave Volonte and we're joined right now by Sandy carter, Vice President of AWS. Welcome Sandy, it's great to see you again, >>David. So great to see you too. Thanks for having me on the show today. >>Very welcome. We were last physically together. I think it was reinvent 2019. Hopefully I'll see you before 2022. But first happy birthday to EC two. I mean, it's hard to imagine back in 2006, the degree to which EC two would impact our industry. Sandy, >>I totally agree. You know, I joined a W S about 4.5 years ago in EC two and it's, it's even amazing to see what's just happened in the last 4.5 years. So I'm with you. Nobody really expected the momentum, but EC two has really shone brightly in value to our customers. >>You know, we've done the public sector summit, you know, many times. It's a great event. Things are a little different in public sector as you well know. So talk about the public sector momentum with EC two and that journey. What have you seen? >>Yeah, so it's a great question day. So I had to go back in the time vault. You know, public sector was founded in 2010 and we were actually founded by the amazon process writing a paper setting up a two pizza team, which happened to be six people. And that journey really started with a lot of our public sector customers thinking that we don't know about the cloud. So we might want to do a pilot or just look at non mission critical workloads now public sector and I know you know this day but public sector is more than just government, it has education, not for profit healthcare and now space. But everybody at that time was very skeptical. So we had to really work hard to migrate some workloads over. And one of our very first non mission critical workloads was the U. S. Navy. Um and what they did was the Navy Media Services actually moved images over to EC two. Now today that seems like oh that's pretty easy. But back then that was a big monumental reference. Um and we had to spend a lot of time on training and education to win the hearts and souls of our customers. So back then we had half of the floor and Herndon Washington, we just had a few people and that room really became a training room. We trained our reps, we trained our customers um research drive. A lot of our early adopters accounts like Nasa and jpl. And um then when cloud first came out and governments that started with the U. S. A. And we announced Govcloud, you know, things really picked up, we had migration of significant workloads. So if you think back to that S. A. P. And just moving media over um with the Navy, the Navy and S. A. P. Migrated their largest S A P E R P solution to the cloud in that time as well. Um, then we started international. Our journey continued with the UK International was UK and us was us. Then we added a P. J. And latin America and Canada. And then of course the partner team which you know, is very close to my heart. Partners today are about 73% of our overall public sector business. And it started out with some interesting small pro program SVS being very crucial to that, accelerating adoption. And then of course now the journey has continued with Covid. That has really accelerated that movement to the cloud. And we're seeing, you know, use of ec two to really help us drive by the cute power needed for A I N. M. L. And taking all that data in from IOT and computing that data. And are they are. Um, and we're really seeing that journey just continue and we see no end in sight. >>So if we can stay in the infancy and sort of the adolescent years of public sector, I mean, remember, I mean as analysts, we were really excited about, you know, the the the introduction of of of of EC two. But but there was a lot of skepticism in whatever industry, financial services, healthcare concerns about security, I presume it was similar in public sector, but I'm interested in how you you dealt with those challenges, how you you listen to folks, you know, how did you drive that leadership to where it is today? >>Yeah, you're right. The the first questions were what is the cloud? Doesn't amazon sell books? What is this clown thing? Um, what is easy to, what is easy to stand for and then what the heck is an instance? You know, way back when there was one instance, it didn't even have a name. And today of course we have over 400 instant types with different names for each one. Um and the big challenges you asked about challenges, the big challenges that we had to face. Dave were first and foremost, how do we educate? Um we had to educate our employees and then we had to educate our customers. So we created these really innovative hands on training programmes, white boarding um, sessions that we needed. They were wildly popular. So we really have to do that and then also prove security as you know. So you asked how we listen to our customers and of course we followed the amazon way we work backwards from where we were. So at that time, customers needed education. And so we started there um, data was really important. We needed to make customer or data for government more available as well. So for instance, we first started hosting the Census Bureau for instance. Um and that was all on EC two. So we had lots of early adopters and I think the early adopters around EC two really helped us to remember. I said that the UK was our international office for a while. So we had NIH we had a genomes project and the UK Ministry of Justice as well. And we had to prove security out. We had to prove how this drove a structured GovCloud and then we had to also prove it out with our partners with things like helping them get fed ramped or other certifications. I'll for that sort of thing as well. And so we really lead in those early days through that education and training. Um we lead with pilots to show the potential of the possible and we lead with that security setting those security standards and those compliance certifications, always listening to the customer, always listening to the partner, knowing how important the partners we're going to be. So for example, recovery dot gov was the first government wide system that moved to the cloud. Um the recovery transparency board was first overseeing that Recovery act spending, which included stimulus tracking website. I don't know if you remember that, but they hosted the recovery dot gov On amazon.com using EC two. And that site quickly made information available to a million visitors per hour and at that time, that was amazing. And the cost savings were significant. We also launched Govcloud. You'd asked about GovCloud earlier and that federal cloud computing strategy when the U. S. Government came out with cloud first and they had to consider what is really going to compel these federal agencies to consider cloud. They had Public-sector customers had 70 requirements for security and safety of the data that we came out with Govcloud to open up all those great opportunities. And I think Dave we continue to leave because we are customer obsessed uh you know, still supporting more security standards and compliance sort than any other provider. Um You know, now we lead with data not just data for census or images for the US Navy, but we've got now data in space and ground station and data at scale with customers like Finra who's now doing 100 billion financial transactions. Not just that one million from the early days. So it has been a heck of a ride for public sector and I love the way that the public sector team really used and leveraged the leadership principles. Re invent and simplify dive deep. Be obsessed with the customers start where they are. Um and make sure that you're always always always listening to what they need. >>You know, it's interesting just observing public sector. It's not uncommon, especially because of the certifications that some of the services, you know come out after they come out for the commercial sector. And I remember years ago when I was at I. D. C. I was kind of the steward of the public sector business. And that was a time when everybody was trying to focus in public sector on commercial off the shelf software. That was the big thing. And they want to understand, they wanted to look at commercial use cases and how they could apply them to government. And when I dug in a little bit and met with generals and like eight different agencies, I was struck by how many really smart people and the things that they were doing. And I said at the time, you know, a lot of my commercial clients could learn a lot from you. And so the reason I bring that up is because I saw the same thing with Govcloud because there was a lot of skepticism in various industries, particularly regulated industries, financial services, healthcare. And then when Govcloud hit and the CIA deal hit, people said, whoa CIA, they're like the most security conscious industry or organization in the world. And so I feel as though in a way public sector led that that breakthrough. So I'm wondering when you think about EC two today and the momentum that it has in the government, Are there similar things that you see? Where's the momentum today in public sector? >>You are right on target day? I mean that CIA was a monumental moment and that momentum with ever increasing adoption to the cloud has continued in public sector. In fact today, public sector is one of our fastest growing areas. So we've got um, you know, thousands of startups or multiple countries that were helping out today to really ignite that innovation. We have over 4000 government agencies, 9000 education agencies. Um 2000 public sector partners from all over the globe. 24,000 not for profit organizations. And what I see is the way that they're using EC two um is is leading the pack now, especially after Covid, you know, many of these folks accelerated their journey because of Covid. They got to the cloud faster and now they are doing some really things that no one else is doing like sending an outpost postbox into space or leveraging, you know robots and health care for sure. So that momentum continues today and I love that you were the champion of that you know way back when even when you were with I. D. C. >>So I want to ask you, you sort of touched on some interesting use cases, what are some of the more unusual ones and maybe breakthrough use cases that you see? >>Oh so yeah we have a couple. So one is um I mentioned it earlier but there is a robot now that is powered by IOT and EC two and the robot helps to take temperature and and readings for folks that are entering the hospital in latin America really helped during Covid, one of my favorites. It actually blew the socks off of verne or two and you know that's hard to do is a space startup called lunar outpost and they are synthesizing oxygen on mars now that's, that's driven by Ec two. That's crazy. Right? Um, we see state governments like new york, they've got this vision zero traffic and they're leveraging that to prevent accidents all through new york city. I used to live in new york city. So this is really needed. Um, and it continues like with education, we see university of Illinois and Splunk one of our partners, they created a boarding pass for students to get back to school. So I have a daughter in college. Um, and you know, it's really hard for her to prove that she's had the vaccine or that she's tested negative on the covid test. They came out with a past of this little boarding pass, just like you used to get on an airplane to get into different classes and labs and then a couple of my favorites and you guys actually filmed the Cherokee nation. So the Cherokee nation, the chief of the Cherokee nation was on our silicon um show and silicon angles show and the cube featured them And as the chief talked about how he preserves the Cherokee language. And if you remember the Cherokee language has been used to help out the US in many different ways and Presidio. One of our partners helped to create a game, a super cool game that links in with unity To help teach that next generation the language while they're playing a game and then last but not least axle three d out of the UK. Um, they're using easy to, to save lives. They've created a three D imaging process for people getting ready to get kidney transplants and they have just enhanced that taken the time frame down for months. Now today's that they can actually articulate whether the kidney transplant will work. And when I talked to roger their Ceo, they're doing R. O. L return on life's not return on investment. So those are just some of the unusual and breakthrough use cases that we see powered by E. C. To >>Sandy. I'll give you the last word. Your final closing comments. >>Well, my final closing comments are happy birthday to ec two celebrating 15 years. What a game changer and value added. It has been the early days of Ec two. Of course we're about education like what is the cloud? Why is a bookseller doing it. But um, easy to really help to create a new hub of value Now. We've got customers moving so fast with modernization using a I. M and M. L. Containers survivalists. Um, and all of these things are really changing the game and leveling it up as we increased that business connection. So I think the future is really bright. We've only just begun. We've only just begun with EC two and we've only just begun with public sector. You know, our next great moments are still left to come. >>Well, Sandy, thanks so much. Always Great to see you. Really appreciate your time. >>Thank you so much. Dave. I really appreciate it. And happy birthday again to E. C. To keep >>It right there were celebrating Ec 2's 15th birthday right back. >>Mhm.

>>Hello everyone. Thank you, add appreciating the studio. We're here at the cube here in cloud city telco DRS Cloud city. I'm Jeffrey Day Volonte. We're here for the next three days. Wall to wall live coverage. It's a physical event with a virtual program. It's hybrid. We're here with Daniel Royston, the Ceo of telco D. R. And the acting Ceo Toby, which is announced today. Great >>to see you. It's awesome to see you guys. >>Awesome to see how you doing, how you >>Feeling? I'm feeling congratulations. Right. 101 days ago, I didn't even think this doesn't exist. Right. And we got in contact with you guys and we said we knew there was always going to be a big virtual component and we invited you guys and here we are together. It's insane. >>Well we did the preview videos, but we're kind of walking through and document in the early stages. It all came together beautifully spectacular For the folks watching behind us is the most spectacular build out clouds. It's an ecosystem open concept. It feels like the Apple store meets paradise. Of course. We got the cube here in the set and we got the studio with all the command and control of adam there. So I gotta ask you with the connected keynotes going on right now. The connected world. Yeah. It's connected. We all know that everyone knows that what's, what's different now real quick before we get into the program, what's going on? >>Yeah. I think a big part of my messages and advocating it's more than just the network, Right? And I think telcos forever have relied on. That's all it is. That's what it's about. And I'm like, nope, you guys got to start focusing on your subscribers, right? And so the over the top players keep coming in and siphoning away their revenue and it's time for them to start focusing on us, right and making experience great. And I think that's what this is all about. >>So we're gonna get the news but I want to toss it to Katie. The roving reporter is going to give it a detail on how it all came together. So Katie take it away. >>Mhm We're here in Barcelona and so excited to be back in this beautiful city over at the convention center. The team is working hard putting the finishing touches to tell Cody are amazing cloud city booth at MwC Barcelona 2021. I'm sure you know the story of how this all came together as one of the biggest vendors Erickson pulled out of M. W. C. With just over 100 days until the start of the event. When this happened last year, it kicked off a tidal wave of departures and MwC was called off this year. We all wondered if MWC was going to be cancelled again and that's when Daniel Royston Ceo of Telco D. R. And Tito G swooped in and took over the booth all 6000 square meters of it. The plan turn the booth into cloud city, the epicenter of public cloud innovation at MWC crews have been working around the clock. Over 100 and 50 people have been on this construction site for over three weeks with covid testing every day to prevent outbreaks during the build and in 100 days, it's become just that Cloud city has over 30 vendors presenting over 70 demos with 24 private meeting areas. Cloud City Live is a virtual showcase and live broadcast studio featuring 50 guests from cloud Thought leaders around the world. They have telepresence robots for a more personalized experience and the Cloud city quest game with a chance to win more than $100,000 to gain access to live streams of our nightly concerts with rosario flores and rock legend Jon bon Jovi. And don't forget to visit cloud city dot telco D R dot com to join in on the fun Daniel Royston and Nacho Gomez, founder and Ceo of one of the key vendors in the construction of the booth gave us a behind the scenes tour of the booth. >>Nacho. We did it. Yeah, we did. It can't even touch because of Covid. Yeah, but look what we did. But right, 100 days ago I called and I said I'm taking over the Ericsson booth. What did you think? I know you were crazy but just a little bit crazy, realized that you were mortgages than I thought. So at the very, at the very beginning I thought, yeah, she's crazy. But then I couldn't sleep that night. But the next uh then I realized that it was a very good it's a great idea. Yeah super smart. So yeah we're gonna show everyone toward the booth. Yeah let's go. Let's go. Okay So how do we build such an amazing, beautiful building now? So this is we've made building inside a book. So it was very hard to find a glassful of facade. The roof is around 24 tones. Yeah so it's crazy crazy but we made it work and it's totally amazing. Yeah. Do you want to go to tragedy life? Do let's go. Okay so here we are Cloud city live. I know we're producing a whole live streaming tv show. We always knew because of covid that not everyone will be able to come to Mwc as we wanted to make sure that people can learn about the public cloud. So over here we have the keynote stage, we're gonna have awesome speakers talking all throughout M. W. C. People from AWS Microsoft, google vendors companies. So really really great content. And then over there we have the cube interviewing people again 15 minute segments, live streaming but also available on demand. And you can find all of this content on cloud city. Tell Cody are calm and it's available for anyone to you. Well, a lot of content. And what about the roberts? I never get them out. Come on. We remember 100 days ago we were locked down. So we came up with the idea of having robots for the people who cannot attend in person. I know right. We always knew that there was gonna be a big virtual component to MWC this year. So we bought 100 telepresence robots. It's a great way to have a more personal experience inside the boot. Just sign up for one on cloud city dot telco D r dot com and you can control it yourself. Right? So today we have Nikki with us, who's dialing in from the Philippines in Manila? Hello, Nicky. Hi there, how are you? I were great. Can you show us a twirl all gaining on us? Super cool. Yeah, it is. What an experience. So Nikki robots are not the only cool thing we have in cloud city. We also have super awesome concert. We have rosario flores on monday. Who's a latin grammy award winner. We have Jon bon Jovi, Jon bon Jovi on Tuesday, can't be changing telephone that a little bit of rock n roll and that's Tuesday. And on Wednesday we have DJ official, it's going to be a super party. Now if you play our cloud city quest on cloud city telco D R dot com you can participate in a live streaming concert and so I know a lot of people out there have been a lockdown. Haven't been able to be going to concerts. Things from austin texas, which is the live music capital of the world, How to have music. It would be so exciting is gonna be great. I'm getting hungry. Why don't we go to the restaurant? Let's go eat. Let's go. Yeah, Here is our awesome restaurant. I know it's called Cloud nine. Right? It's a place to come and sit down and relax now. Barcelona is known for its great food and I'm a foodie. So we had to have a restaurant. Should we go check out my secret bar? Let's go. Mhm. Yeah, here >>thanks to a R. And thank you Nacho if you're watching this at home, I'm so sorry you can't join us in person. However, let's not forget this is a hybrid event meaning we're bringing all the public cloud action right to you wherever in the world you might be. This includes the Pact cloud city live program. We've partnered with the cube Silicon angle Media's live streaming video studio to make sure that all of the keynotes, panel discussions, demos, case studies interviews and way more are available on demand so you can watch them whenever and wherever you want or you can live stream and enjoy all things cloud city as and when they happen. So for those of you not able to join us in, Barcelona, be sure to log in to cloud city live and catch all the action and don't miss the awesome concert Tuesday night with Jon bon Jovi available for free. If you participate in our cloud city quest game, I'll be here throughout MWc bringing you reports and updates. Stay >>tuned. Yeah. >>Mhm. Okay, we're back here on the cube on the floor at mobile world congress in cloud city telco DRS clouds. They were here with D. R. Of telco, D R. Danielle Rice and great to see you back, we're back. So the keynotes going on connected world, the big news here, I'll see the open shift that's happening is going open. Open ran, it's been a big thing. Open ran alliance. You're starting to see the industry come together around this clear mandate that applications are gonna be cloud native and the public cloud is just coming in like a big wave and people are gonna be driftwood or they'll be surfing the wave. Yeah, this is what's happening. >>Yeah, I think public cloud is an unstoppable megatrend. It's hit every other industry regulated industries like banking, right? Top secret industries like government. They all use the public cloud tells us the last, you know, standing old school industry and it's coming and I don't think we could have had an MWc without talking about open man. That's the other major shift. And so we're bringing both of those ideas here together in cloud city. So >>the big theme is telco transformation. Maybe we could start with the basics like paint a picture of what the telco infrastructure looks like, particularly the data center stuff because they all have big data centers >>because that's >>those are the candidates to go into the cloud explained to the audience. >>Well, do you have a time machine? I think if any of us were in tech in the late 90s and early 2000s, that's what telcos like today. Right. So for people outside of the industry don't know right there mostly still managing their own data centers, they're just sort of adopting virtualization. Some of the more advanced telcos are mostly virtualized public cloud. Is this idea that like this advanced thought and so yeah, I mean things are on premise, things are in silom, things don't use a P. I. S there all integrated with custom code. And so the transformation, we can all see it because we've lived it in other industries. And I'm bringing that to telco and say come along for the ride. It totally works and it's gonna be amazing. >>So it's hardened purpose built infrastructure. Okay. That ultimately parts of that need to go to the public cloud. Right. What parts do you see going first? >>I think all of it. Really. Yeah. And I think when you look at like dish in the W. S. Which was an announcement that came out about two months ago. Right. I mean dish was doing all these are FPs. Everyone knew about it. They were looking for a cloud native software and no one knew what they were. They knew a big part was open man. But their coupling open ran with AWS and deploying their parts of their network onto the public cloud and the whole industry is like wait we thought this was years away, right? Or number two, you're crazy. And I'm saying this is what I've been talking about guys. This is exactly what you can do, leverage the Capex over. Let's see. I think Amazon did $100 billion 2020 right, leverage that Capex for yourself. Get that infinite scalability right? It's going to, well we >>have, we have a saying here in the queue, we just made this up called D. R. That's your initial tucker. The digital revolution and the three Rs reset re platform and re factor. I think the observation we're seeing is that you're coming in with the narrative what everyone's kind of like they're waking up because they have to reset and then re platform with the cloud. But the opportunity is gonna be the re factoring, You're seeing the public cloud, do that already with the Enterprise Enterprises. Already re factoring has done that. Already done that now. Telcos the last area to be innovated by the cloud. >>Yeah, I think there's old school big, we're kind of on a hollowed ground here in the Ericsson booth that I took over, right? They bailed and I kind of made fun of them. I was like, they don't have anything to say, right, They're not going to go to the show. I'm like, this is this is a revolution that's happening in telco and I don't think the big guys are really interested in rewriting their software that frankly makes them billions and billions of dollars of revenue. And I'm like to use the public cloud. All of the software needs to be rewritten needs to be re factored and you've got to start training your teams on how to use it. They don't have any capability. The telcos, in terms of those skills hire the right people, retrain your teams, move your applications, rewrite them. And I think that's what we're talking, this is not a short journey, this is a 10 year journey. So >>let's fast forward to the future a little bit because when I look around cloud city, I see ecosystem everywhere. So as you well know, the telcos have generally done a poor job of attacking adjacent seas. So my question is can they go beyond should they go beyond connectivity or is that going to be the role of the ecosystem? >>Yeah, I think it's time that the telco starts to focus on their subscriber, right? It's been really easy for them to rely on the oligopoly of the network, Right? The network, we live in the United States, we see the 18 T Verizon T mobile five G network, five G network. Like what about us? Right. And it's really easy for the over the top players right, that come in and they're always, telcos are always complaining about being coming dumb pipes and I'm like, you don't focus on the customer, we would rather buy from an Apple and amazon if they provided a mobile service because the customer experience will be better. Right? They need to start focusing on us. They have great businesses but they want to make them better. They need to start focusing on the subscriber, so >>it's a partnership with the ecosystem then for them to go beyond just straight connectivity because you're right, those are the brands that we want to do business >>with. You know, there was a great survey, Peter Atherton who will be talking as a speaker I think um I can't remember when he's talking but he was talking about how there was a survey done, where would you rather get your mobile service from? And it had a couple of big names in telco and then of course the obvious, you know, consumer brands, the ones that we all know and it was like overwhelmingly would rather buy from an amazon or an apple. And I'm like, this is like if you guys don't change, right, if telco doesn't change they keep rolling out 60 and blah blah blah. It's about the network and I don't start making about the subscriber right? Those revenues are going to continue to erode and they just sit there and complain about the O. T. T. Players. Like it's time to fight back. Yeah, I own the subscriber >>relationship. It's a digital revolution and I think This event really encapsulates in my mind this hybrid world here because it's physical events back. It's been since 2019 winter that this event actually happened. >>Well no it was even longer than, well I guess winter it was February of 19, right? And so like you look at ericsson and some of the big names that dropped out of the show, the time they come back, three years will have passed three years, right? This is how you feel your sales funnel is how you connect with your customers right? Tokyo is a very global, you know experience and so you gotta, you gotta get in front of people and you got to talk a >>lot of change to its happened, look at just what public clouds done in 2.5 years. You imagine three years being just >>gone, right? And I think a lot of people back to edition A. W. S. I think the industry was a little bit surprised by that announcement. So I've been telling executives if you were surprised by that, if you think that's, you know, if you don't know how that's gonna work, you need to come to cloud cities, you start meeting all the vendors are here. We have over 30 vendors, 70 demos, right? People who are pushing the technology forward, you need to learn what's going on here. We have several dish vendors here. Come learn about open rand, come learn about public cloud. So >>we're tight on time today, but we're going to have you back and we want to get into the tech, Get it to open, ran a little bit, get into what 5G and beyond and how we're going to take advantage of that and monetize it and what that all means. >>And also we want to hear what's going on the hallways. I know you got a lot of your key noting, you're gonna be a lot of events, the yacht. You've got a lot of briefings, >>yep. Yeah, I've already had two meetings this morning. I shot a video. Um, I met with one of the world's largest groups and I met with a tiny little super app company. Right? So running the gamut, doing everything reporter >>now, we could be like our roaming >>reporter. You know, I love, I love talking to execs and telco getting their perspective on what is public cloud and where are they going, what are they thinking about? And you talked to people who really, really get it and you get people who are just nascent and everywhere in between and I love mwc it's going great. >>Daniel Rose and you are a digital revolution telco DDR. There's amazing. Davis has been fantastic. Again for the folks watching, this is a hybrid events, there's an online component and we're reaching out with our remote interviews to get people brought in and we're shipping this content out to the masses all over the world. It's gonna be really amazing cube coverages here. It's gonna be rocking you guys are doing great. I just want to give you a compliment that you guys just did an amazing job. And of course we've got adam in the studio with the team. So adam, I'm gonna pass it off back to you in the studio

>> From theCUBE Studios in Palo Alto in Boston, bringing you data-driven insights from theCUBE in ETR. This is Breaking Analysis with Dave Vellante. >> Snowflake is not going to grow into its valuation by stealing the croissant from the breakfast table of the on-prem data warehouse vendors. Look, even if snowflake got 100% of the data warehouse business, it wouldn't come close to justifying its market cap. Rather Snowflake has to create an entirely new market based on completely changing the way organizations think about monetizing data. Every organization I talk to says it wants to be, or many say they already are data-driven. why wouldn't you aspire to that goal? There's probably nothing more strategic than leveraging data to power your digital business and creating competitive advantage. But many businesses are failing, or I predict, will fail to create a true data-driven culture because they're relying on a flawed architectural model formed by decades of building centralized data platforms. Welcome everyone to this week's Wikibon Cube Insights powered by ETR. In this Breaking Analysis, I want to share some new thoughts and fresh ETR data on how organizations can transform their businesses through data by reinventing their data architectures. And I want to share our thoughts on why we think Snowflake is currently in a very strong position to lead this effort. Now, on November 17th, theCUBE is hosting the Snowflake Data Cloud Summit. Snowflake's ascendancy and its blockbuster IPO has been widely covered by us and many others. Now, since Snowflake went public, we've been inundated with outreach from investors, customers, and competitors that wanted to either better understand the opportunities or explain why their approach is better or different. And in this segment, ahead of Snowflake's big event, we want to share some of what we learned and how we see it. Now, theCUBE is getting paid to host this event, so I need you to know that, and you draw your own conclusions from my remarks. But neither Snowflake nor any other sponsor of theCUBE or client of SiliconANGLE Media has editorial influence over Breaking Analysis. The opinions here are mine, and I would encourage you to read my ethics statement in this regard. I want to talk about the failed data model. The problem is complex, I'm not debating that. Organizations have to integrate data and platforms with existing operational systems, many of which were developed decades ago. And as a culture and a set of processes that have been built around these systems, and they've been hardened over the years. This chart here tries to depict the progression of the monolithic data source, which, for me, began in the 1980s when Decision Support Systems or DSS promised to solve our data problems. The data warehouse became very popular and data marts sprung up all over the place. This created more proprietary stovepipes with data locked inside. The Enron collapse led to Sarbanes-Oxley. Now, this tightened up reporting. The requirements associated with that, it breathed new life into the data warehouse model. But it remained expensive and cumbersome, I've talked about that a lot, like a snake swallowing a basketball. The 2010s ushered in the big data movement, and Data Lakes emerged. With a dupe, we saw the idea of no schema online, where you put structured and unstructured data into a repository, and figure it all out on the read. What emerged was a fairly complex data pipeline that involved ingesting, cleaning, processing, analyzing, preparing, and ultimately serving data to the lines of business. And this is where we are today with very hyper specialized roles around data engineering, data quality, data science. There's lots of batch of processing going on, and Spark has emerged to improve the complexity associated with MapReduce, and it definitely helped improve the situation. We're also seeing attempts to blend in real time stream processing with the emergence of tools like Kafka and others. But I'll argue that in a strange way, these innovations actually compound the problem. And I want to discuss that because what they do is they heighten the need for more specialization, more fragmentation, and more stovepipes within the data life cycle. Now, in reality, and it pains me to say this, it's the outcome of the big data movement, as we sit here in 2020, that we've created thousands of complicated science projects that have once again failed to live up to the promise of rapid cost-effective time to insights. So, what will the 2020s bring? What's the next silver bullet? You hear terms like the lakehouse, which Databricks is trying to popularize. And I'm going to talk today about data mesh. These are other efforts they look to modernize datalakes and sometimes merge the best of data warehouse and second-generation systems into a new paradigm, that might unify batch and stream frameworks. And this definitely addresses some of the gaps, but in our view, still suffers from some of the underlying problems of previous generation data architectures. In other words, if the next gen data architecture is incremental, centralized, rigid, and primarily focuses on making the technology to get data in and out of the pipeline work, we predict it's going to fail to live up to expectations again. Rather, what we're envisioning is an architecture based on the principles of distributed data, where domain knowledge is the primary target citizen, and data is not seen as a by-product, i.e, the exhaust of an operational system, but rather as a service that can be delivered in multiple forms and use cases across an ecosystem. This is why we often say the data is not the new oil. We don't like that phrase. A specific gallon of oil can either fuel my home or can lubricate my car engine, but it can't do both. Data does not follow the same laws of scarcity like natural resources. Again, what we're envisioning is a rethinking of the data pipeline and the associated cultures to put data needs of the domain owner at the core and provide automated, governed, and secure access to data as a service at scale. Now, how is this different? Let's take a look and unpack the data pipeline today and look deeper into the situation. You all know this picture that I'm showing. There's nothing really new here. The data comes from inside and outside the enterprise. It gets processed, cleanse or augmented so that it can be trusted and made useful. Nobody wants to use data that they can't trust. And then we can add machine intelligence and do more analysis, and finally deliver the data so that domain specific consumers can essentially build data products and services or reports and dashboards or content services, for instance, an insurance policy, a financial product, a loan, that these are packaged and made available for someone to make decisions on or to make a purchase. And all the metadata associated with this data is packaged along with the dataset. Now, we've broken down these steps into atomic components over time so we can optimize on each and make them as efficient as possible. And down below, you have these happy stick figures. Sometimes they're happy. But they're highly specialized individuals and they each do their job and they do it well to make sure that the data gets in, it gets processed and delivered in a timely manner. Now, while these individual pieces seemingly are autonomous and can be optimized and scaled, they're all encompassed within the centralized big data platform. And it's generally accepted that this platform is domain agnostic. Meaning the platform is the data owner, not the domain specific experts. Now there are a number of problems with this model. The first, while it's fine for organizations with smaller number of domains, organizations with a large number of data sources and complex domain structures, they struggle to create a common data parlance, for example, in a data culture. Another problem is that, as the number of data sources grows, organizing and harmonizing them in a centralized platform becomes increasingly difficult, because the context of the domain and the line of business gets lost. Moreover, as ecosystems grow and you add more data, the processes associated with the centralized platform tend to get further genericized. They again lose that domain specific context. Wait (chuckling), there are more problems. Now, while in theory organizations are optimizing on the piece parts of the pipeline, the reality is, as the domain requires a change, for example, a new data source or an ecosystem partnership requires a change in access or processes that can benefit a domain consumer, the reality is the change is subservient to the dependencies and the need to synchronize across these discrete parts of the pipeline or actually, orthogonal to each of those parts. In other words, in actuality, the monolithic data platform itself remains the most granular part of the system. Now, when I complain about this faulty structure, some folks tell me this problem has been solved. That there are services that allow new data sources to really easily be added. A good example of this is Databricks Ingest, which is, it's an auto loader. And what it does is it simplifies the ingestion into the company's Delta Lake offering. And rather than centralizing in a data warehouse, which struggles to efficiently allow things like Machine Learning frameworks to be incorporated, this feature allows you to put all the data into a centralized datalake. More so the argument goes, that the problem that I see with this, is while the approach does definitely minimizes the complexities of adding new data sources, it still relies on this linear end-to-end process that slows down the introduction of data sources from the domain consumer beside of the pipeline. In other words, the domain experts still has to elbow her way into the front of the line or the pipeline, in this case, to get stuff done. And finally, the way we are organizing teams is a point of contention, and I believe is going to continue to cause problems down the road. Specifically, we've again, we've optimized on technology expertise, where for example, data engineers, well, really good at what they do, they're often removed from the operations of the business. Essentially, we created more silos and organized around technical expertise versus domain knowledge. As an example, a data team has to work with data that is delivered with very little domain specificity, and serves a variety of highly specialized consumption use cases. All right. I want to step back for a minute and talk about some of the problems that people bring up with Snowflake and then I'll relate it back to the basic premise here. As I said earlier, we've been hammered by dozens and dozens of data points, opinions, criticisms of Snowflake. And I'll share a few here. But I'll post a deeper technical analysis from a software engineer that I found to be fairly balanced. There's five Snowflake criticisms that I'll highlight. And there are many more, but here are some that I want to call out. Price transparency. I've had more than a few customers telling me they chose an alternative database because of the unpredictable nature of Snowflake's pricing model. Snowflake, as you probably know, prices based on consumption, just like AWS and other cloud providers. So just like AWS, for example, the bill at the end of the month is sometimes unpredictable. Is this a problem? Yes. But like AWS, I would say, "Kill me with that problem." Look, if users are creating value by using Snowflake, then that's good for the business. But clearly this is a sore point for some users, especially for procurement and finance, which don't like unpredictability. And Snowflake needs to do a better job communicating and managing this issue with tooling that can predict and help better manage costs. Next, workload manage or lack thereof. Look, if you want to isolate higher performance workloads with Snowflake, you just spin up a separate virtual warehouse. It's kind of a brute force approach. It works generally, but it will add expense. I'm kind of reminded of Pure Storage and its approach to storage management. The engineers at Pure, they always design for simplicity, and this is the approach that Snowflake is taking. Usually, Pure and Snowflake, as I have discussed in a moment, is Pure's ascendancy was really based largely on stealing share from Legacy EMC systems. Snowflake, in my view, has a much, much larger incremental market opportunity. Next is caching architecture. You hear this a lot. At the end of the day, Snowflake is based on a caching architecture. And a caching architecture has to be working for some time to optimize performance. Caches work well when the size of the working set is small. Caches generally don't work well when the working set is very, very large. In general, transactional databases have pretty small datasets. And in general, analytics datasets are potentially much larger. Is it Snowflake in the analytics business? Yes. But the good thing that Snowflake has done is they've enabled data sharing, and it's caching architecture serves its customers well because it allows domain experts, you're going to hear this a lot from me today, to isolate and analyze problems or go after opportunities based on tactical needs. That said, very big queries across whole datasets or badly written queries that scan the entire database are not the sweet spot for Snowflake. Another good example would be if you're doing a large audit and you need to analyze a huge, huge dataset. Snowflake's probably not the best solution. Complex joins, you hear this a lot. The working set of complex joins, by definition, are larger. So, see my previous explanation. Read only. Snowflake is pretty much optimized for read only data. Maybe stateless data is a better way of thinking about this. Heavily right intensive workloads are not the wheelhouse of Snowflake. So where this is maybe an issue is real-time decision-making and AI influencing. A number of times, Snowflake, I've talked about this, they might be able to develop products or acquire technology to address this opportunity. Now, I want to explain. These issues would be problematic if Snowflake were just a data warehouse vendor. If that were the case, this company, in my opinion, would hit a wall just like the NPP vendors that proceeded them by building a better mouse trap for certain use cases hit a wall. Rather, my promise in this episode is that the future of data architectures will be really to move away from large centralized warehouses or datalake models to a highly distributed data sharing system that puts power in the hands of domain experts at the line of business. Snowflake is less computationally efficient and less optimized for classic data warehouse work. But it's designed to serve the domain user much more effectively in our view. We believe that Snowflake is optimizing for business effectiveness, essentially. And as I said before, the company can probably do a better job at keeping passionate end users from breaking the bank. But as long as these end users are making money for their companies, I don't think this is going to be a problem. Let's look at the attributes of what we're proposing around this new architecture. We believe we'll see the emergence of a total flip of the centralized and monolithic big data systems that we've known for decades. In this architecture, data is owned by domain-specific business leaders, not technologists. Today, it's not much different in most organizations than it was 20 years ago. If I want to create something of value that requires data, I need to cajole, beg or bribe the technology and the data team to accommodate. The data consumers are subservient to the data pipeline. Whereas in the future, we see the pipeline as a second class citizen, with a domain expert is elevated. In other words, getting the technology and the components of the pipeline to be more efficient is not the key outcome. Rather, the time it takes to envision, create, and monetize a data service is the primary measure. The data teams are cross-functional and live inside the domain versus today's structure where the data team is largely disconnected from the domain consumer. Data in this model, as I said, is not the exhaust coming out of an operational system or an external source that is treated as generic and stuffed into a big data platform. Rather, it's a key ingredient of a service that is domain-driven and monetizable. And the target system is not a warehouse or a lake. It's a collection of connected domain-specific datasets that live in a global mesh. What is a distributed global data mesh? A data mesh is a decentralized architecture that is domain aware. The datasets in the system are purposely designed to support a data service or data product, if you prefer. The ownership of the data resides with the domain experts because they have the most detailed knowledge of the data requirement and its end use. Data in this global mesh is governed and secured, and every user in the mesh can have access to any dataset as long as it's governed according to the edicts of the organization. Now, in this model, the domain expert has access to a self-service and obstructed infrastructure layer that is supported by a cross-functional technology team. Again, the primary measure of success is the time it takes to conceive and deliver a data service that could be monetized. Now, by monetize, we mean a data product or data service that it either cuts cost, it drives revenue, it saves lives, whatever the mission is of the organization. The power of this model is it accelerates the creation of value by putting authority in the hands of those individuals who are closest to the customer and have the most intimate knowledge of how to monetize data. It reduces the diseconomies at scale of having a centralized or a monolithic data architecture. And it scales much better than legacy approaches because the atomic unit is a data domain, not a monolithic warehouse or a lake. Zhamak Dehghani is a software engineer who is attempting to popularize the concept of a global mesh. Her work is outstanding, and it's strengthened our belief that practitioners see this the same way that we do. And to paraphrase her view, "A domain centric system must be secure and governed with standard policies across domains." It has to be trusted. As I said, nobody's going to use data they don't trust. It's got to be discoverable via a data catalog with rich metadata. The data sets have to be self-describing and designed for self-service. Accessibility for all users is crucial as is interoperability, without which distributed systems, as we know, fail. So what does this all have to do with Snowflake? As I said, Snowflake is not just a data warehouse. In our view, it's always had the potential to be more. Our assessment is that attacking the data warehouse use cases, it gave Snowflake a straightforward easy-to-understand narrative that allowed it to get a foothold in the market. Data warehouses are notoriously expensive, cumbersome, and resource intensive, but they're a critical aspect to reporting and analytics. So it was logical for Snowflake to target on-premise legacy data warehouses and their smaller cousins, the datalakes, as early use cases. By putting forth and demonstrating a simple data warehouse alternative that can be spun up quickly, Snowflake was able to gain traction, demonstrate repeatability, and attract the capital necessary to scale to its vision. This chart shows the three layers of Snowflake's architecture that have been well-documented. The separation of compute and storage, and the outer layer of cloud services. But I want to call your attention to the bottom part of the chart, the so-called Cloud Agnostic Layer that Snowflake introduced in 2018. This layer is somewhat misunderstood. Not only did Snowflake make its Cloud-native database compatible to run on AWS than Azure in the 2020 GCP, what Snowflake has done is to obstruct cloud infrastructure complexity and create what it calls the data cloud. What's the data cloud? We don't believe the data cloud is just a marketing term that doesn't have any substance. Just as SAS is Simplified Application Software and iOS made it possible to eliminate the value drain associated with provisioning infrastructure, a data cloud, in concept, can simplify data access, and break down fragmentation and enable shared data across the globe. Snowflake, they have a first mover advantage in this space, and we see a number of fundamental aspects that comprise a data cloud. First, massive scale with virtually unlimited compute and storage resource that are enabled by the public cloud. We talk about this a lot. Second is a data or database architecture that's built to take advantage of native public cloud services. This is why Frank Slootman says, "We've burned the boats. We're not ever doing on-prem. We're all in on cloud and cloud native." Third is an obstruction layer that hides the complexity of infrastructure. and fourth is a governed and secured shared access system where any user in the system, if allowed, can get access to any data in the cloud. So a key enabler of the data cloud is this thing called the global data mesh. Now, earlier this year, Snowflake introduced its global data mesh. Over the course of its recent history, Snowflake has been building out its data cloud by creating data regions, strategically tapping key locations of AWS regions and then adding Azure and GCP. The complexity of the underlying cloud infrastructure has been stripped away to enable self-service, and any Snowflake user becomes part of this global mesh, independent of the cloud that they're on. Okay. So now, let's go back to what we were talking about earlier. Users in this mesh will be our domain owners. They're building monetizable services and products around data. They're most likely dealing with relatively small read only datasets. They can adjust data from any source very easily and quickly set up security and governance to enable data sharing across different parts of an organization, or, very importantly, an ecosystem. Access control and governance is automated. The data sets are addressable. The data owners have clearly defined missions and they own the data through the life cycle. Data that is specific and purposely shaped for their missions. Now, you're probably asking, "What happens to the technical team and the underlying infrastructure and the cluster it's in? How do I get the compute close to the data? And what about data sovereignty and the physical storage later, and the costs?" All these are good questions, and I'm not saying these are trivial. But the answer is these are implementation details that are pushed to a self-service layer managed by a group of engineers that serves the data owners. And as long as the domain expert/data owner is driving monetization, this piece of the puzzle becomes self-funding. As I said before, Snowflake has to help these users to optimize their spend with predictive tooling that aligns spend with value and shows ROI. While there may not be a strong motivation for Snowflake to do this, my belief is that they'd better get good at it or someone else will do it for them and steal their ideas. All right. Let me end with some ETR data to show you just how Snowflake is getting a foothold on the market. Followers of this program know that ETR uses a consistent methodology to go to its practitioner base, its buyer base each quarter and ask them a series of questions. They focus on the areas that the technology buyer is most familiar with, and they ask a series of questions to determine the spending momentum around a company within a specific domain. This chart shows one of my favorite examples. It shows data from the October ETR survey of 1,438 respondents. And it isolates on the data warehouse and database sector. I know I just got through telling you that the world is going to change and Snowflake's not a data warehouse vendor, but there's no construct today in the ETR dataset to cut a data cloud or globally distributed data mesh. So you're going to have to deal with this. What this chart shows is net score in the y-axis. That's a measure of spending velocity, and it's calculated by asking customers, "Are you spending more or less on a particular platform?" And then subtracting the lesses from the mores. It's more granular than that, but that's the basic concept. Now, on the x-axis is market share, which is ETR's measure of pervasiveness in the survey. You can see superimposed in the upper right-hand corner, a table that shows the net score and the shared N for each company. Now, shared N is the number of mentions in the dataset within, in this case, the data warehousing sector. Snowflake, once again, leads all players with a 75% net score. This is a very elevated number and is higher than that of all other players, including the big cloud companies. Now, we've been tracking this for a while, and Snowflake is holding firm on both dimensions. When Snowflake first hit the dataset, it was in the single digits along the horizontal axis and continues to creep to the right as it adds more customers. Now, here's another chart. I call it the wheel chart that breaks down the components of Snowflake's net score or spending momentum. The lime green is new adoption, the forest green is customers spending more than 5%, the gray is flat spend, the pink is declining by more than 5%, and the bright red is retiring the platform. So you can see the trend. It's all momentum for this company. Now, what Snowflake has done is they grabbed a hold of the market by simplifying data warehouse. But the strategic aspect of that is that it enables the data cloud leveraging the global mesh concept. And the company has introduced a data marketplace to facilitate data sharing across ecosystems. This is all about network effects. In the mid to late 1990s, as the internet was being built out, I worked at IDG with Bob Metcalfe, who was the publisher of InfoWorld. During that time, we'd go on speaking tours all over the world, and I would listen very carefully as he applied Metcalfe's law to the internet. Metcalfe's law states that the value of the network is proportional to the square of the number of connected nodes or users on that system. Said another way, while the cost of adding new nodes to a network scales linearly, the consequent value scores scales exponentially. Now, apply that to the data cloud. The marginal cost of adding a user is negligible, practically zero, but the value of being able to access any dataset in the cloud... Well, let me just say this. There's no limitation to the magnitude of the market. My prediction is that this idea of a global mesh will completely change the way leading companies structure their businesses and, particularly, their data architectures. It will be the technologists that serve domain specialists as it should be. Okay. Well, what do you think? DM me @dvellante or email me at david.vellante@siliconangle.com or comment on my LinkedIn? Remember, these episodes are all available as podcasts, so please subscribe wherever you listen. I publish weekly on wikibon.com and siliconangle.com, and don't forget to check out etr.plus for all the survey analysis. This is Dave Vellante for theCUBE Insights powered by ETR. Thanks for watching. Be well, and we'll see you next time. (upbeat music)